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Vijayakumar, Sethu
. The optimal feedback control law for systems with non-linear dynamics and non-quadratic costs can be foundOPTIMAL CONTROL WITH ADAPTIVE INTERNAL DYNAMICS MODELS Djordje Mitrovic, Stefan Klanke, and Sethu, optimal control, adaptive control, robot simulation Abstract: Optimal feedback control has been proposed
Optimal control with adaptive internal dynamics modelsĀ
Mitrovic, Djordje; Klanke, Stefan; Vijayakumar, Sethu
Optimal feedback control has been proposed as an attractive movement generation strategy in goal reaching tasks for anthropomorphic manipulator systems. The optimal feedback control law for systems with non-linear dynamics ...
Stochastic optimal control with learned dynamics modelsĀ
Mitrovic, Djordje
The motor control of anthropomorphic robotic systems is a challenging computational task mainly because of the high levels of redundancies such systems exhibit. Optimality principles provide a general strategy to resolve ...
Efficient Dynamic Modeling, Numerical Optimal Control and Experimental Results for Various Gaits
Stryk, Oskar von
Efficient Dynamic Modeling, Numerical Optimal Control and Experimental Results for Various Gaits. A fully three- dimensional dynamical model of Sony's four-legged robot is used to state an optimal control model and the algorithm for evaluating the dynamics. The formulation of the optimal control problem
Optimization of Fed-Batch Saccharomyces cereWisiae Fermentation Using Dynamic Flux Balance Models
Mountziaris, T. J.
ARTICLES Optimization of Fed-Batch Saccharomyces cereWisiae Fermentation Using Dynamic Flux Balance metabolism with dynamic mass balances on key extracellular species. Model-based dynamic optimization concentration profiles, and the final batch time are treated as decision variables in the dynamic optimization
Dynamic Optimization in Continuous-Time Economic Models (A Guide for the Perplexed)
Sadoulet, Elisabeth
Dynamic Optimization in Continuous-Time Economic Models (A Guide for the Perplexed) Maurice, continuous-time modeling allows application of a powerful mathematical tool, the theory of optimal dynamic control. The basic idea of optimal control theory is easy to grasp-- indeed it follows from elementary
Object-oriented Dynamics Modeling for Legged Robot Trajectory Optimization and Control
Stryk, Oskar von
Object-oriented Dynamics Modeling for Legged Robot Trajectory Optimization and Control Robert. To facilitate the investigation of new concepts of nonlinear model-based optimization and control methods also-level specification of multibody dynamics models using component libraries serves as a basis for generation
Optimal foreign borrowing in a multisector dynamic equilibrium model for Brazil
Tourinho, Octv?io A. F.
This paper shows how a dynamic multisector equilibrium model can be formulated to be able to analyze the optimal borrowing policy of a developing country. It also describes how a non-linear programming model with the ...
Integrated Dynamic Optimization and Control in Reservoir Engineering using Locally Identified Linear Models
Van den Hof, Paul
on dynamic real-time optimization (D- RTO) of waterflooding strategies in petroleum reservoirs haveIntegrated Dynamic Optimization and Control in Reservoir Engineering using Locally Identified, the used large-scale, nonlinear, physics-based reservoir models suffer from vast parametric uncertainty
Optimal motion planning with the half-car dynamical model for autonomous high-speed driving
Jeon, Jeong hwan
We discuss an implementation of the RRT* optimal motion planning algorithm for the half-car dynamical model to enable autonomous high-speed driving. To develop fast solutions of the associated local steering problem, we ...
A Nonlinear Continuous Time Optimal Control Model of Dynamic Pricing and Inventory Control with no
Adida, Elodie
time optimal control model for studying a dynamic pricing and inventory control problem for a make-to-stock of not introducing any approximation to the real setting: it provides the exact solution of the system. When taking
Adaptive Optimal Feedback Control with Learned Internal Dynamics ModelsĀ
Mitrovic, Djordje; Klanke, Stefan; Vijayakumar, Sethu
, have focused on the case of non-linear, but still analytically available, dynamics. For realistic control systems, however, the dynamics may often be unknown, difficult to estimate, or subject to frequent systematic changes. In this chapter, we combine...
Optimization Online - Multilevel Optimization Modeling for Risk ...
Jonathan Eckstein
Aug 24, 2014 ... Abstract: Coherent risk measures have become a popular tool for incorporating risk aversion into stochastic optimization models. For dynamicĀ...
Event-driven multithreaded dynamic optimization
Zhang, Weifeng
Speci?c Optimizations . . . . . . . . . . . . . F.3. Trace Optimization Overhead . . . . . . . . . . . . . . .Dynamic Optimization . . . . . . .B. Optimizations with the
Optimal prediction in molecular dynamics
Benjamin Seibold
Optimal prediction approximates the average solution of a large system of ordinary differential equations by a smaller system. We present how optimal prediction can be applied to a typical problem in the field of molecular dynamics, in order to reduce the number of particles to be tracked in the computations. We consider a model problem, which describes a surface coating process, and show how asymptotic methods can be employed to approximate the high dimensional conditional expectations, which arise in optimal prediction. The thus derived smaller system is compared to the original system in terms of statistical quantities, such as diffusion constants. The comparison is carried out by Monte-Carlo simulations, and it is shown under which conditions optimal prediction yields a valid approximation to the original system.
Merging spatially variant physical process models under an optimized systems dynamics framework.
Cain, William O. (University of Texas at Austin, Austin, TX); Lowry, Thomas Stephen; Pierce, Suzanne A.; Tidwell, Vincent Carroll
The complexity of water resource issues, its interconnectedness to other systems, and the involvement of competing stakeholders often overwhelm decision-makers and inhibit the creation of clear management strategies. While a range of modeling tools and procedures exist to address these problems, they tend to be case specific and generally emphasize either a quantitative and overly analytic approach or present a qualitative dialogue-based approach lacking the ability to fully explore consequences of different policy decisions. The integration of these two approaches is needed to drive toward final decisions and engender effective outcomes. Given these limitations, the Computer Assisted Dispute Resolution system (CADRe) was developed to aid in stakeholder inclusive resource planning. This modeling and negotiation system uniquely addresses resource concerns by developing a spatially varying system dynamics model as well as innovative global optimization search techniques to maximize outcomes from participatory dialogues. Ultimately, the core system architecture of CADRe also serves as the cornerstone upon which key scientific innovation and challenges can be addressed.
Development of a Dynamic DOE Calibration Model
Broader source: Energy.gov (indexed) [DOE]
cell characterization * Train and validate dynamic models * Apply models for system optimization Results * Dynamic emissions models have been developed (validation error on the...
Tools for dynamic model development
Schaber, Spencer Daniel
For this thesis, several tools for dynamic model development were developed and analyzed. Dynamic models can be used to simulate and optimize the behavior of a great number of natural and engineered systems, from the ...
Optimization Online - Optimization Software and Modeling Systems ...
Optimization Software and Modeling Systems Submissions - 2009. March 2009. Modeling Languages and Systems A Structure-Conveying Modelling LanguageĀ...
Optimization models in finance Ma 450 Darinka Dentcheva Fall 2012 firstname.lastname@example.com
Dentcheva, Darinka
Optimization models in finance Ma 450 Darinka Dentcheva Fall 2012 darinka and dynamic optimization problems occurring in finance. We shall discuss linear and non-linear optimization models of finance, dynamic (se- quential) optimization, optimization under uncertainty, mathematical
Optimizing Preventive Maintenance Models
Optimizing Preventive Maintenance Models. Michael Bartholomew-Biggs. School of Physics Astronomy and Mathematics, University of Hertfordshire.
Shaon Sahoo; Soumya Kanti Ganguly
Contrary to the actual nonlinear Glauber model (NLGM), the linear Glauber model (LGM) is exactly solvable, although the detailed balance condition is not generally satisfied. This motivates us to address the issue of writing the transition rate ($w_j$) in a best possible linear form such that the mean squared error in satisfying the detailed balance condition is least. The advantage of this work is that, by studying the LGM analytically, we will be able to anticipate how the kinetic properties of an arbitrary Ising system depend on the temperature and the coupling constants. The analytical expressions for the optimal values of the parameters involved in the linear $w_j$ are obtained using a simple Moore-Penrose pseudoinverse matrix. This approach is quite general, in principle applicable to any system and can reproduce the exact results for one dimensional Ising system. In the continuum limit, we get a linear time-dependent Ginzburg-Landau (TDGL) equation from the Glauber's microscopic model of non-conservative dynamics. We analyze the critical and dynamic properties of the model, and show that most of the important results obtained in different studies can be reproduced by our new mathematical approach. We will also show in this paper that the effect of magnetic field can easily be studied within our approach; in particular, we show that the inverse of relaxation time changes quadratically with (weak) magnetic field and that the fluctuation-dissipation theorem is valid for our model.
An Infrastructure for Adaptive Dynamic Optimization
Amarasinghe, Saman
An Infrastructure for Adaptive Dynamic Optimization Derek Bruening, Timothy Garnett, and Saman,timothyg,email@example.com Abstract Dynamic optimization is emerging as a promising ap- proach to overcome many of the obstacles static optimizations, there are very few for developing dynamic optimizations. We present a framework
Development of a Laboratory Verified Single-Duct VAV System Model with Fan Powered Terminal Units Optimized Using Computational Fluid Dynamics
Davis, Michael A.
the static pressure drop as air passed through the unit over the full operating range of the FPTU. Computational fluid dynamics (CFD) models of typical a FPTU were developed and used to investigate opportunities for optimizing the design of FPTUs. The CFD...
Natural Dynamics for Combinatorial Optimization
Ovchinnikov, Igor V
Stochastic and or natural dynamical systems (DSs) are dominated by sudden nonlinear processes such as neuroavalanches, gamma-ray bursts, solar flares, earthquakes etc. that exhibit scale-free statistics. These behaviors also occur in many nanosystems. On phase diagrams, these DSs belong to a finite-width phase that separates the phases of thermodynamic equilibrium and ordinary chaotic dynamics, and that is known under such names as intermittency, noise-induced chaos, and self-organized criticality. Within the recently formulated approximation-free cohomological theory of stochastic differential equations, the noise-induced chaos can be roughly interpreted as a noise-induced overlap between regular (integrable) and chaotic (non-integrable) deterministic dynamics so that DSs in this phase inherit the properties of the both. Here, we analyze this unique set of properties and conclude that such DSs must be the most efficient natural optimizers. Based on this understanding, we propose the method of the natural dyn...
PLASMA Approximate Dynamic Programming finally cracks the locomotive optimization problem
Powell, Warren B.
PLASMA ┬Ł Approximate Dynamic Programming finally cracks the locomotive optimization problem schedules and new operating policies. PLASMA is currently running at Norfolk Southern for strategic of PLASMA: Each locomotive is modeled individually, making it possible to capture both horsepower
Dynamic Portfolio Optimization with Transaction Costs: Heuristics ...
Aug 10, 2010 ... Dynamic Portfolio Optimization with Transaction. Costs: Heuristics and Dual Bounds. David B. Brown and James E. Smith?. Fuqua School ofĀ...
Optimization Online - Dynamic Generation of Scenario Trees
G. Ch. Pflug
Sep 3, 2014 ... Abstract: We present new algorithms for the dynamic generation of scenario trees for multistage stochastic optimization. The different methodsĀ...
Eichhorn, Andreas
DYNAMIC RISK MANAGEMENT IN ELECTRICITY PORTFOLIO OPTIMIZATION VIA POLYHEDRAL RISK FUNCTIONALS the dynamic decision structure appropriately. In energy risk management, which is typically carried out ex, for integrating risk management into a stochastic optimization framework, risk has to be quantified in a definite
Yang, L.
Dynamic aperture (DA) optimization with direct particle tracking is a straight forward approach when the computing power is permitted. It can have various realistic errors included and is more close than theoretical estimations. In this approach, a fast and parallel tracking code could be very helpful. In this presentation, we describe an implementation of storage ring particle tracking code TESLA for beam dynamics optimization. It supports MPI based parallel computing and is robust as DA calculation engine. This code has been used in the NSLS-II dynamics optimizations and obtained promising performance.
Dynamic programming approach to adjustable robust optimization
inventory model and show that, similar to the risk neutral case, a basestock ... In the last ten years Robust Optimization has become a viable tool in dealing with ... concepts from probability theory and functional analysis. ... optimization (
Optimization of Logic Programs with Dynamic Scheduling
Stuckey, Peter J.
of program transformations designed to reduce this additional over┬Ł head, while preserving the operational using high┬Łlevel program transformation was already illustrated in [?]. However, optimizationOptimization of Logic Programs with Dynamic Scheduling Germ'an Puebla Facultad de Inform
Modeling & Optimization An ABB Speciality
generation; transmission systems and substations; network management Low-voltage products; contactors, soft, 2009 | Slide 11 #12;Steps to Achieve Advanced Control / Optimization Build process model: First principle (White Box) Black box Grey box Design controller / optimizer / product Engineer / implement
Optimization of Modelica Models with JModelica.org and Optimica
Optimization of Modelica Models with JModelica.org and Optimica #12;Outline Ę Modelica Ę Dynamic Ę Modelica Ę Dynamic optimization and Optimica Ę The JModelica.org open source project Ę Applications Ę What's next? #12;What is Modelica? Ę A language for modeling of complex heterogeneous physical systems Ę Open
Optimization Models in Finance (26:711:564) Andrzej Ruszczynski
Lin, Xiaodong
Optimization Models in Finance (26:711:564) Andrzej Ruszczynski Objectives The objective of this course is to introduce models and computational methods for static and dynamic optimization problems occurring in finance. Special attention will be devoted to portfolio optimization and to risk management
Queuing models System dynamics models
Glushko, Robert J.
models Value chain models Business Model / Organizational Perspective Process Perspective Information#12;#12;#12;#12;Queuing models System dynamics models #12;#12;#12;#12;Blueprint or touchpoint
Chaotic Dynamics in Optimal Monetary Policy
Orlando Gomes; Vivaldo M. Mendes; Diana A. Mendes; J. Sousa Ramos
There is by now a large consensus in modern monetary policy. This consensus has been built upon a dynamic general equilibrium model of optimal monetary policy as developed by, e.g., Goodfriend and King (1997), Clarida et al. (1999), Svensson (1999) and Woodford (2003). In this paper we extend the standard optimal monetary policy model by introducing nonlinearity into the Phillips curve. Under the specific form of nonlinearity proposed in our paper (which allows for convexity and concavity and secures closed form solutions), we show that the introduction of a nonlinear Phillips curve into the structure of the standard model in a discrete time and deterministic framework produces radical changes to the major conclusions regarding stability and the efficiency of monetary policy. We emphasize the following main results: (i) instead of a unique fixed point we end up with multiple equilibria; (ii) instead of saddle--path stability, for different sets of parameter values we may have saddle stability, totally unstable equilibria and chaotic attractors; (iii) for certain degrees of convexity and/or concavity of the Phillips curve, where endogenous fluctuations arise, one is able to encounter various results that seem intuitively correct. Firstly, when the Central Bank pays attention essentially to inflation targeting, the inflation rate has a lower mean and is less volatile; secondly, when the degree of price stickiness is high, the inflation rate displays a larger mean and higher volatility (but this is sensitive to the values given to the parameters of the model); and thirdly, the higher the target value of the output gap chosen by the Central Bank, the higher is the inflation rate and its volatility.
state variables. The dynamic model is embedded within the constraints. Power systems form an important for Deregulated Electric Power Systems: Optimization, Control, and Computational Intelligence, J. Chow, F. Wu consequences in the latter case [1]. Even the tuning of traditional controllers such as power system sta
Preprint submitted to SAE Optimal Control Based Modeling of
Stryk, Oskar von
Preprint submitted to SAE Optimal Control Based Modeling of Vehicle Driver Properties Torsten Butz. On the stabilization level, a nonlinear position controller guides the full vehicle dynamics model along the prescribed operation and at the driving limits. In the following, we investigate an optimal control based model
Stochastic Optimization Modeling
Third, its theoretical properties were studied (convexity, separability and optimality con- .... in Section 3, have the structure of problems PEV and PS, respectively, and for this reason we review ... may produce poor optimization results as it is depicted in Figure 1 for the instance with ...... Second, it has been assessed that the.
Esquit Hernandez, Carlos A.
Circuit designers perform optimization procedures targeting speed and power during the design of a circuit. Gate sizing can be applied to optimize for speed, while Dual-VT and Dynamic Voltage Scaling (DVS) can be applied to optimize for leakage...
Hybrid Model for Building Performance Diagnosis and Optimal ControlĀ
Wang, S.; Xu, X.
Modern buildings require continuous performance monitoring, automatic diagnostics and optimal supervisory control. For these applications, simplified dynamic building models are needed to predict the cooling and heating requirement viewing...
Optimal Model-Based Production Planning
Grossmann, Ignacio E.
1 Optimal Model-Based Production Planning for Refinery Operation Abdulrahman Alattas Advisor;2 Outline Introduction Problem Statement Refinery Planning Model Development LP Planning Models NLP Planning Models Conclusion #12;3 Introduction Refinery production planning models Optimizing refinery
Towards Dynamic Pricing-Based Collaborative Optimizations for Green Data Centers
Loo, Boon Thau
framework by coupling utilities with data centers via dynamic pricing. We develop models describing using real intermittent-energy-generation trace data. Modeling the dynamic price over this trace, weTowards Dynamic Pricing-Based Collaborative Optimizations for Green Data Centers Yang Li David Chiu
Dynamic Simulation and Optimization of Nuclear Hydrogen Production Systems
Paul I. Barton; Mujid S. Kaximi; Georgios Bollas; Patricio Ramirez Munoz
This project is part of a research effort to design a hydrogen plant and its interface with a nuclear reactor. This project developed a dynamic modeling, simulation and optimization environment for nuclear hydrogen production systems. A hybrid discrete/continuous model captures both the continuous dynamics of the nuclear plant, the hydrogen plant, and their interface, along with discrete events such as major upsets. This hybrid model makes us of accurate thermodynamic sub-models for the description of phase and reaction equilibria in the thermochemical reactor. Use of the detailed thermodynamic models will allow researchers to examine the process in detail and have confidence in the accurary of the property package they use.
Optimal Measurement and Control in Quantum Dynamical Systems.
Belavkin, Viacheslav P.
Optimal Measurement and Control in Quantum Dynamical Systems. V P Belavkin Institute of Physics-dimensional linear Markovian dynamical system with a quantum linear transmission line is studied. The optimal quantum multi-stage decision rule consisting of the classical linear optimal control strategy and quantum
Static and Dynamic Locality Optimizations Using Integer Linear Programming
Kuzmanovic, Aleksandar
Static and Dynamic Locality Optimizations Using Integer Linear Programming Mahmut Kandemir, Member hierarchies is closely related to the performance of the memory subsystem. Compiler optimizations aimed at improving cache locality are critical in realizing the performance potential of powerful processors
Esquit Hernandez, Carlos A.
Circuit designers perform optimization procedures targeting speed and power during the design of a circuit. Gate sizing can be applied to optimize for speed, while Dual-VT and Dynamic Voltage Scaling (DVS) can be applied ...
Nonsmooth dynamic optimization of systems with varying structure
Yunt, Mehmet, 1975-
In this thesis, an open-loop numerical dynamic optimization method for a class of dynamic systems is developed. The structure of the governing equations of the systems under consideration change depending on the values of ...
Optimal Model-Based Production Planning
Grossmann, Ignacio E.
1 Optimal Model-Based Production Planning for Refinery Operation Abdulrahman Alattas Advisor Steam distillation column Conclusion #12;3 Introduction Refinery production planning models Optimizing refinery operation Crude selection Maximizing profit; minimizing cost LP-based, linear process unit
Optimization of Preventive Maintenance Scheduling in Semiconductor Manufacturing Models Using a Simulation-Based Approximate
Fernandez, Emmanuel
Optimization of Preventive Maintenance Scheduling in Semiconductor Manufacturing Models Using Dynamic Programming (ADP) approach for the optimization of Preventive Maintenance (PM) scheduling schedules. I. INTRODUCTION In semiconductor manufacturing systems, or fabs, pre- ventive maintenance (PM
Optimization Modeling Languages Emmanuel Fragni`ere
Gondzio, Jacek
Optimization Modeling Languages Emmanuel Fragni`ere HEC, Department of Management, University, 1999 1 #12;Abstract The access to advanced optimization software needs more and more sophisticated modeling tools. Optimization modeling languages are tools that facilitate the decision making process based
Online optimization of storage ring nonlinear beam dynamics
Huang, Xiaobiao
We propose to optimize the nonlinear beam dynamics of existing and future storage rings with direct online optimization techniques. This approach may have crucial importance for the implementation of diffraction limited storage rings. In this paper considerations and algorithms for the online optimization approach are discussed. We have applied this approach to experimentally improve the dynamic aperture of the SPEAR3 storage ring with the robust conjugate direction search method and the particle swarm optimization method. The dynamic aperture was improved by more than 5 mm within a short period of time. Experimental setup and results are presented.
Optimization of Structural Dynamic Behaviour Based on Effective Modal Parameters
Paris-Sud XI, Universit├® de
Optimization of Structural Dynamic Behaviour Based on Effective Modal Parameters S. Besset, L. J Optimization of complex structures often leads to high calculation costs. In- deed, the structure has to be frequently reanalysed in order to update the opti- mization criteriums. We propose an optimization method
First principles molecular dynamics without self-consistent field optimization
Souvatzis, Petros
We present a first principles molecular dynamics approach that is based on time-reversible ex- tended Lagrangian Born-Oppenheimer molecular dynamics [Phys. Rev. Lett. 100, 123004 (2008)] in the limit of vanishing self-consistent field optimization. The optimization-free dynamics keeps the computational cost to a minimum and typically provides molecular trajectories that closely follow the exact Born-Oppenheimer potential energy surface. Only one single diagonalization and Hamiltonian (or Fockian) costruction are required in each integration time step. The proposed dy- namics is derived for a general free-energy potential surface valid at finite electronic temperatures within hybrid density functional theory. Even in the event of irregular functional behavior that may cause a dynamical instability, the optimization-free limit represents an ideal starting guess for force calculations that may require a more elaborate iterative electronic ground state optimization. Our optimization-free dynamics thus represents ...
Optimized Uncertainty Quantification Algorithm Within a Dynamic Event Tree Framework
J. W. Nielsen; Akira Tokuhiro; Robert Hiromoto
Methods for developing Phenomenological Identification and Ranking Tables (PIRT) for nuclear power plants have been a useful tool in providing insight into modelling aspects that are important to safety. These methods have involved expert knowledge with regards to reactor plant transients and thermal-hydraulic codes to identify are of highest importance. Quantified PIRT provides for rigorous method for quantifying the phenomena that can have the greatest impact. The transients that are evaluated and the timing of those events are typically developed in collaboration with the Probabilistic Risk Analysis. Though quite effective in evaluating risk, traditional PRA methods lack the capability to evaluate complex dynamic systems where end states may vary as a function of transition time from physical state to physical state . Dynamic PRA (DPRA) methods provide a more rigorous analysis of complex dynamic systems. A limitation of DPRA is its potential for state or combinatorial explosion that grows as a function of the number of components; as well as, the sampling of transition times from state-to-state of the entire system. This paper presents a method for performing QPIRT within a dynamic event tree framework such that timing events which result in the highest probabilities of failure are captured and a QPIRT is performed simultaneously while performing a discrete dynamic event tree evaluation. The resulting simulation results in a formal QPIRT for each end state. The use of dynamic event trees results in state explosion as the number of possible component states increases. This paper utilizes a branch and bound algorithm to optimize the solution of the dynamic event trees. The paper summarizes the methods used to implement the branch-and-bound algorithm in solving the discrete dynamic event trees.
Modal aerosol dynamics modeling
Whitby, E.R.; McMurry, P.H.; Shankar, U.; Binkowski, F.S.
The report presents the governing equations for representing aerosol dynamics, based on several different representations of the aerosol size distribution. Analytical and numerical solution techniques for these governing equations are also reviewed. Described in detail is a computationally efficient numerical technique for simulating aerosol behavior in systems undergoing simultaneous heat transfer, fluid flow, and mass transfer in and between the gas and condensed phases. The technique belongs to a general class of models known as modal aerosol dynamics (MAD) models. These models solve for the temporal and spatial evolution of the particle size distribution function. Computational efficiency is achieved by representing the complete aerosol population as a sum of additive overlapping populations (modes), and solving for the time rate of change of integral moments of each mode. Applications of MAD models for simulating aerosol dynamics in continuous stirred tank aerosol reactors and flow aerosol reactors are provided. For the application to flow aerosol reactors, the discussion is developed in terms of considerations for merging a MAD model with the SIMPLER routine described by Patankar (1980). Considerations for incorporating a MAD model into the U.S. Environmental Protection Agency's Regional Particulate Model are also described. Numerical and analytical techniques for evaluating the size-space integrals of the modal dynamics equations (MDEs) are described. For multimodal logonormal distributions, an analytical expression for the coagulation integrals of the MDEs, applicable for all size regimes, is derived, and is within 20% of accurate numerical evaluation of the same moment coagulation integrals. A computationally efficient integration technique, based on Gauss-Hermite numerical integration, is also derived.
MODELING, SIMULATION AND OPTIMIZATION OF GROUND SOURCE HEAT PUMP SYSTEMS By MUHAMMAD HAIDER KHAN AND OPTIMIZATION OF GROUND SOURCE HEAT PUMP SYSTEMS Thesis Approved..................................................................................................................... 1 1.1 Overview of Ground Source Heat Pump Systems.............................................. 1 1
Toward optimized code generation through model-based optimization
Paris-Sud XI, Universit├® de
Toward optimized code generation through model- based optimization Asma Charfi, Chokri Mraidha.gerard, firstname.lastname@example.com Pierre Boulet LIFL, CNRS/INRIA, Universit├® de Lille 1, Parc de la Haute Borne, B├ót tools like synthesis of system's application by automatic code generation. Real-Time and Embedded
Integrated Scheduling and Dynamic Optimization of Batch Processes Using State Equipment Networks
Grossmann, Ignacio E.
Integrated Scheduling and Dynamic Optimization of Batch Processes Using State Equipment Networks value to existing assets Improving plant reliability 1 J.M. Wassick and J. Ferrio. Extending A batch plant with existing equipment A time horizon to make products Dynamic models of process operations
An optimization approach to kinetic model reduction for combustion chemistry
Lebiedz, Dirk
Model reduction methods are relevant when the computation time of a full convection-diffusion-reaction simulation based on detailed chemical reaction mechanisms is too large. In this article, we review a model reduction approach based on optimization of trajectories and show its applicability to realistic combustion models. As most model reduction methods, it identifies points on a slow invariant manifold based on time scale separation in the dynamics of the reaction system. The numerical approximation of points on the manifold is achieved by solving a semi-infinite optimization problem, where the dynamics enter the problem as constraints. The proof of existence of a solution for an arbitrarily chosen dimension of the reduced model (slow manifold) is extended to the case of realistic combustion models including thermochemistry by considering the properties of proper maps. The model reduction approach is finally applied to three models based on realistic reaction mechanisms: 1. ozone decomposition as a small t...
Mesoscale ocean dynamics modeling
mHolm, D.; Alber, M.; Bayly, B.; Camassa, R.; Choi, W.; Cockburn, B.; Jones, D.; Lifschitz, A.; Margolin, L.; Marsden, L.; Nadiga, B.; Poje, A.; Smolarkiewicz, P. [Los Alamos National Lab., NM (United States); Levermore, D. [Arizona Univ., Tucson, AZ (United States)
This is the final report of a three-year, Laboratory-Directed Research and Development (LDRD) project at the Los Alamos National Laboratory (LANL). The ocean is a very complex nonlinear system that exhibits turbulence on essentially all scales, multiple equilibria, and significant intrinsic variability. Modeling the ocean`s dynamics at mesoscales is of fundamental importance for long-time-scale climate predictions. A major goal of this project has been to coordinate, strengthen, and focus the efforts of applied mathematicians, computer scientists, computational physicists and engineers (at LANL and a consortium of Universities) in a joint effort addressing the issues in mesoscale ocean dynamics. The project combines expertise in the core competencies of high performance computing and theory of complex systems in a new way that has great potential for improving ocean models now running on the Connection Machines CM-200 and CM-5 and on the Cray T3D.
A Remarkable Property of the Dynamic Optimization Extremals?
Delfim Fernando Marado Torres
Page 1 ... A dynamic optimization continuous problem poses the question of what is .... We shall now formulate the celebrated Pontryagin maximum principle [22], .... is the case when the extremals don't change the value of a given function.
Optimal Formation Flight Control Using Coupled Inter-Spacecraft Dynamics
, Alvar Saenz-Otero October 2009 SSL # 10-09 #12;#12;Optimal Formation Flight Control Using Coupled Inter-Spacecraft Dynamics Martin Azkarate Vecilla, Alvar Saenz-Otero October 2009 SSL # 10-09 This work is based
Optimal approach to quantum communication using dynamic programming
Nehorai, Arye
Optimal approach to quantum communication using dynamic programming Liang Jiang* , Jacob M. Taylor*¦ , Navin KhanejaČ , and Mikhail D. Lukin* *Department of Physics, ČSchool of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138; and ¦Department of Physics, Massachusetts Institute
Optimal Model-Based Production Planning
Grossmann, Ignacio E.
1 Optimal Model-Based Production Planning for Refinery Operation Abdulrahman Alattas Advisor Distillation Column FI Model Conclusion #12;3 Introduction Refinery production planning models Optimizing refinery operation Crude selection Maximizing profit; minimizing cost LP-based, linear process unit
Optimal Model-Based Production Planning for
Grossmann, Ignacio E.
1 1 Optimal Model-Based Production Planning for Refinery Operation Abdulrahman Alattas Advisor to refinery profit and economics Refinery production planning models Operation optimization Crude selection Integrate scheduling into planning model Current Project collaboration with BP Goal: develop a refinery
Simple Dynamic Gasifier Model That Runs in Aspen Dynamics
Robinson, P.J.; Luyben, W.L. [Lehigh University, Bethlehem, PA (United States). Dept. of Chemical Engineering
Gasification (or partial oxidation) is a vital component of 'clean coal' technology. Sulfur and nitrogen emissions can be reduced, overall energy efficiency is increased, and carbon dioxide recovery and sequestration are facilitated. Gasification units in an electric power generation plant produce a fuel for driving combustion turbines. Gasification units in a chemical plant generate gas, which can be used to produce a wide spectrum of chemical products. Future plants are predicted to be hybrid power/chemical plants with gasification as the key unit operation. The widely used process simulator Aspen Plus provides a library of models that can be used to develop an overall gasifier model that handles solids. So steady-state design and optimization studies of processes with gasifiers can be undertaken. This paper presents a simple approximate method for achieving the objective of having a gasifier model that can be exported into Aspen Dynamics. The basic idea is to use a high molecular weight hydrocarbon that is present in the Aspen library as a pseudofuel. This component should have the same 1:1 hydrogen-to-carbon ratio that is found in coal and biomass. For many plantwide dynamic studies, a rigorous high-fidelity dynamic model of the gasifier is not needed because its dynamics are very fast and the gasifier gas volume is a relatively small fraction of the total volume of the entire plant. The proposed approximate model captures the essential macroscale thermal, flow, composition, and pressure dynamics. This paper does not attempt to optimize the design or control of gasifiers but merely presents an idea of how to dynamically simulate coal gasification in an approximate way.
MERCHOP (Merchandising Optimizer): A dynamic programming model for estimating the harvest value of unthinned loblolly and slash pine plantations. Forest Service research paper
Busby, R.L.; Ward, K.B.
A model was devised to estimate the harvest value of unthinned loblolly and slash pine (pinus taeda L. and P. elliottii var. elliottii Englm.) plantations in the west gulf region. The model, MERCHOP, can be used to forecast product volumes and values; the output provided is partitioned into 1-inch tree d.b.h. classes. Using a dynamic programming algorithm, MERCHOP can be used to convert stand tables predicted by USLYCOWG's three-parameter Weibull function into a listing of seven products that maximizes the selling value of the stand, assuming the assumptions used in the analysis are correct.
Optimal control of leukemic cell population dynamics
aspects, as well as theoretical and numerical results on the optimal control .... and inward flow; the transport equation (3) describes the evolution of the age.
First principles molecular dynamics without self-consistent field optimization
Souvatzis, Petros, E-mail: firstname.lastname@example.com [Department of Physics and Astronomy, Division of Materials Theory, Uppsala University, Box 516, SE-75120 Uppsala (Sweden)] [Department of Physics and Astronomy, Division of Materials Theory, Uppsala University, Box 516, SE-75120 Uppsala (Sweden); Niklasson, Anders M. N., E-mail: firstname.lastname@example.com [Theoretical Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545 (United States)] [Theoretical Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545 (United States)
We present a first principles molecular dynamics approach that is based on time-reversible extended Lagrangian Born-Oppenheimer molecular dynamics [A. M. N. Niklasson, Phys. Rev. Lett. 100, 123004 (2008)] in the limit of vanishing self-consistent field optimization. The optimization-free dynamics keeps the computational cost to a minimum and typically provides molecular trajectories that closely follow the exact Born-Oppenheimer potential energy surface. Only one single diagonalization and Hamiltonian (or Fockian) construction are required in each integration time step. The proposed dynamics is derived for a general free-energy potential surface valid at finite electronic temperatures within hybrid density functional theory. Even in the event of irregular functional behavior that may cause a dynamical instability, the optimization-free limit represents a natural starting guess for force calculations that may require a more elaborate iterative electronic ground state optimization. Our optimization-free dynamics thus represents a flexible theoretical framework for a broad and general class of ab initio molecular dynamics simulations.
Van Roy, Ben
In this chapter, a new ADP algorithm integrating (1) systematic basis function con- struction, (2) a linear op- timization techniques to improve the performance of petroleum reservoir operations. Many optimization algorithms have been applied to maximize reservoir performance. Most of these optimization
Evolutionary Strategies and Genetic Algorithms for Dynamic Parameter Optimization of Evolving Fuzzy Neural Networks
Yao, Xin
Fuzzy Neural Networks are usually used to model evolving processes, which are developing and changing easier the evolving processes modeling task. Evolving Fuzzy Neural Networks (EFuNNs) [Kasabov 2001] formEvolutionary Strategies and Genetic Algorithms for Dynamic Parameter Optimization of Evolving Fuzzy
Optimal Model-Based Production Planning
Grossmann, Ignacio E.
Optimal Model-Based Production Planning for Refinery Operation Abdulrahman Alattas Advisor: Ignacio;Outline Introduction Refinery Planning Model Development LP Planning Models NLP Planning Models FI Model Aggregate Model Conclusion & Future work 2 #12;3 Introduction Refinery production planning
Event-driven multithreaded dynamic optimization
Zhang, Weifeng
percent dynamic loads Hits-prefetched Partial-prefetchedlead to partial prefetching. That is, the load la- tency ispartial monitoring window. After all of the delinquent loads
Development and Control of Autonomous, Biped Locomotion using Efficient Modeling, Simulation, and Optimization Techniques
Stryk, Oskar von
of joint reference trajectories for implementing first steps, the development of nonlinear dynamics model-basedDevelopment and Control of Autonomous, Biped Locomotion using Efficient Modeling, Simulation from simulations and gait optimizations completed during its development using a 3D dynamic biped model
Speeding up critical system dynamics through optimized evolution
Caneva, Tommaso [International School for Advanced Studies (SISSA), Via Beirut 2-4, I-34014 Trieste (Italy); Institut fuer Quanteninformationsverarbeitung, Universitaet Ulm, D-89069 Ulm (Germany); Calarco, Tommaso; Montangero, Simone [Institut fuer Quanteninformationsverarbeitung, Universitaet Ulm, D-89069 Ulm (Germany); Fazio, Rosario [NEST, Scuola Normale Superiore and Istituto di Nanoscienze-CNR, Piazza dei Cavalieri 7, I-56126 Pisa (Italy); Santoro, Giuseppe E. [International School for Advanced Studies (SISSA), Via Beirut 2-4, I-34014 Trieste (Italy); CNR-INFM Democritos National Simulation Center, Via Beirut 2-4, I-34014 Trieste (Italy); International Centre for Theoretical Physics (ICTP), P.O. Box 586, I-34014 Trieste (Italy)
The number of defects which are generated upon crossing a quantum phase transition can be minimized by choosing properly designed time-dependent pulses. In this work we determine what are the ultimate limits of this optimization. We discuss under which conditions the production of defects across the phase transition is vanishing small. Furthermore we show that the minimum time required to enter this regime is T{approx}{pi}/{Delta}, where {Delta} is the minimum spectral gap, unveiling an intimate connection between an optimized unitary dynamics and the intrinsic measure of the Hilbert space for pure states. Surprisingly, the dynamics is nonadiabatic; this result can be understood by assuming a simple two-level dynamics for the many-body system. Finally we classify the possible dynamical regimes in terms of the action s=T{Delta}.
An Optimal Approximate Dynamic Programming Algorithm for the Energy Dispatch Problem with Grid-
Powell, Warren B.
dispatch and energy allocation decisions in the presence of grid-level storage. The model makes it possible the economic behavior of energy allocation and electric power dispatch. Linear pro- gramming has been usedAn Optimal Approximate Dynamic Programming Algorithm for the Energy Dispatch Problem with Grid
Model-Based Transient Calibration Optimization for Next Generation...
Broader source: Energy.gov (indexed) [DOE]
Model-Based Transient Calibration Optimization for Next Generation Diesel Engines Model-Based Transient Calibration Optimization for Next Generation Diesel Engines 2005 Diesel...
Modeling and Optimization of Interpenetrating Polymer
Grossmann, Ignacio E.
Modeling and Optimization of Interpenetrating Polymer Network Process Weijie Lin, Lorenz T. Biegler. Crosslinking Features Complex diffusion; single component reaction Complex composite networking reaction Ę Initiator feeding rate Ę Initial polymer Ę Monomer concentration Ę Initiator concentration Ę Holding
Optimization of flagellar swimming by a model sperm
B. U. Felderhof
The swimming of a bead-spring chain in a viscous incompressible fluid as a model of a sperm is studied in the framework of low Reynolds number hydrodynamics. The optimal mode in the class of planar flagellar strokes of small amplitude is determined on the basis of a generalized eigenvalue problem involving two matrices which can be evaluated from the mobility matrix of the set of spheres constituting the chain. For an elastic chain with a cargo constraint for its spherical head, the actuating forces yielding a nearly optimal stroke can be determined. These can be used in a Stokesian dynamics simulation of large amplitude swimming.
Nonlinear Optimization in Modeling Environments
Dec 16, 2004 ... procedure that will, in effect, be close in efficiency to a passive uniform grid search. For this reason, in a .... Benson and Sun (2000). Let us also ...... Optimization AB, VõsterÕs, Sweden. http://www.tomlab.biz. Pintķr, J.D. andĀ...
E-AMOM: An Energy-Aware Modeling and Optimization Methodology for Scientific Applications on Multicore Systems
Lively, Charles
Hybrid (MPI/OpenMP) and MPI implementations for six scientific applications. E-AMOM includes an optimization component that utilizes our models to employ run-time Dynamic Voltage and Frequency Scaling (DVFS) and Dynamic Concurrency Throttling to reduce...
Optimization Modeling and Programming in Xpress-
Grossmann, Ignacio E.
the business problem in the Mosel algebraic modeling language ┬Ę Ex: Capital Budgeting ┬Ę Set of projects resources ┬Ę Select set of projects to maximize return #12;Developing an optimization model Building Block 1-user ┬Ę protects intellectual property ┬Ę platform independent ┬Ę efficient #12;More Mosel Features ┬Ę Modeling
Dynamic Neural Field Optimization using the Unscented Kalman Filter
Paris-Sud XI, Universitķ de
Dynamic Neural Field Optimization using the Unscented Kalman Filter Jeremy Fix, Matthieu Geist Kalman filters, a derivative-free algorithm for parameter estimation, which reveals to efficiently function which may be difficult or at least costly to perform. Kalman filters are a popular collection
Dynamic optimization of a plate reactor start-up
of a plate reactor #12;Safety conditions for ignition and conversion Avoid regions in the state-space, where reactor #12;Details of the NMPC implementation Cost function = tp t0 (x(t), u(t), »u(t), r(t))dt =1 + 1 2Dynamic optimization of a plate reactor start-up Staffan Haugwitz, Per Hagander and John Bagterp
Dynamic Memory Usage Optimization using ILP and J. Ramanujam2
Ramanujam, J. "Ram"
computing field such as electronic structure calculations, and in several other contexts. We are considering sizes M like those arising in scientific computing such as electronic structure calculations [1, 2, 3Dynamic Memory Usage Optimization using ILP A. Allam1 and J. Ramanujam2 1 Electrical Engineering
New methods for estimation, modeling and validation of dynamical systems using automatic differentiationĀ
Griffith, Daniel Todd
The main objective of this work is to demonstrate some new computational methods for estimation, optimization and modeling of dynamical systems that use automatic differentiation. Particular focus will be upon dynamical ...
Fuel Optimal Thrust Allocation in Dynamic Positioning
Johansen, Tor Arne
as a standard QP-problem by recalculation of its cost function weights based on linear and quadratic model operations e.g; pipelay operations, dredging, crane barge operations, station keeping, drilling, anchor
A model for dynamic chance constraints in hydro power reservoir management
R÷misch, Werner
A model for dynamic chance constraints in hydro power reservoir management L. Andrieu , R. Henrion In this paper, a model for (joint) dynamic chance constraints is proposed and ap- plied to an optimization for two and three stages. 1 Introduction A conventional optimization problem under chance constraints
OPTIMAL DIFFERENTIATION BASED ON STOCHASTIC SIGNAL MODELS Bengt Carlsson, Anders Ahl'en and Mikael Sternad \\Lambda November 1989 Abstract The problem of estimating the time derivative of a signal from sam is to use stochastic models of the signal to be differentiated and of the measurement noise. Two approaches
Direct Modeling of Envelope Dynamics in Resonant Inverters Yan Yin, Regan Zane, Robert Erickson
to facilitate optimized controller design. Several approaches are available to model the envelope dynamicsDirect Modeling of Envelope Dynamics in Resonant Inverters Yan Yin, Regan Zane, Robert Erickson- This paper provides a direct dynamic modeling approach for envelope signals in resonant inverters driven
Dynamic Response Optimization of Complex Multibody Systems in a Penalty Formulation using Adjoint Sensitivity
Yitao Zhu; Daniel Dopico; Corina Sandu; Adrian Sandu
Multibody dynamics simulations are currently widely accepted as valuable means for dynamic performance analysis of mechanical systems. The evolution of theoretical and computational aspects of the multibody dynamics discipline make it conducive these days for other types of applications, in addition to pure simulations. One very important such application is design optimization. A very important first step towards design optimization is sensitivity analysis of multibody system dynamics. Dynamic sensitivities are often calculated by means of finite differences. Depending of the number of parameters involved, this procedure can be computationally expensive. Moreover, in many cases, the results suffer from low accuracy when real perturbations are used. The main contribution to the state-of-the-art brought by this study is the development of the adjoint sensitivity approach of multibody systems in the context of the penalty formulation. The theory developed is demonstrated on one academic case study, a five-bar mechanism, and on one real-life system, a 14-DOF vehicle model. The five-bar mechanism is used to illustrate the sensitivity approach derived in this paper. The full vehicle model is used to demonstrate the capability of the new approach developed to perform sensitivity analysis and gradient-based optimization for large and complex multibody systems with respect to multiple design parameters.
Power Modeling and Optimization for GPGPUs
Li, Zhi
Caused by the switching of transistors to charge and discharge the load capacitance, dynamic power can be calculated by the following equation: 2 d ddP aCV f? (1) Here, the activity factor, a , is a fraction between 0 and 1 indicating how often... in [17]. 3.2 Power Modeling Methodology The basic idea to calculate dynamic power of streaming multiprocessors in this model is similar to Wattch. I consider dynamic power of different structure blocks inside each SM, 10 and calculate...
Dynamic Optimization in Gas Pipeline Networks EWO MEETING, Spring 2012
Grossmann, Ignacio E.
(z,t) and q(z,t) Momentum Balance: Material Balance: Network Inventory: Node equations Flow balance-based ROMeo platform. ROMeo: Rigorous On-line Modeling and Equation-based Optimization Model will provide: no accumulation at nodes. Pressure balance: pressure at a node is equal to the pressure either into or out
Modeling and Optimization for Interpenetrating polymer
Grossmann, Ignacio E.
Modeling and Optimization for Interpenetrating polymer network process 1 Weijie Lin, Lorenz T #12;Project Overview Ę IPN Interpenetrating polymer network Ł A combination of two polymers in a network form Fig. 2 An IPN process example Ę Typical Sequential Type of Process Fig. 1 IPN network
Models for Optimization of Energy Consumption of Pumps in a Wastewater Processing Plant
Kusiak, Andrew
; Energy consumption; Data collection; Neural networks; Dynamic models; Statics; Water treatment plants. Author keywords: Wastewater pump models; Energy consumption; Pump energy; Data mining; Head influenceModels for Optimization of Energy Consumption of Pumps in a Wastewater Processing Plant Zijun Zhang
Mease, Kenneth D.
turbine module (compressor and turbine sub-modules) Catalytic oxidizer Combustor module Heat exchanger, PEM, Gas Turbine General Model Assumptions Ę 1D process flow Ę Well-stirred within nodal volume Ę Slow reactants #12;Steam Reformation Ł Occurs in Reformer and Fuel Cells Methane reformation reaction Water Gas
MODELING, VERIFICATION AND OPTIMIZATION OF HYBRID GROUND SOURCE HEAT PUMP SYSTEMS IN ENERGYPLUS, VERIFICATION AND OPTIMIZATION OF HYBRID GROUND SOURCE HEAT PUMP SYSTEMS IN ENERGYPLUS Thesis Approved by: Dr.................................................................................................................... 16 MODELING OF HYBRID GROUND SOURCE HEAT PUMP SYSTEMS IN ENERGYPLUS
Optimization models for improving periodic maintenance schedules by utilizing opportunities
Patriksson, Michael
to this as preventive maintenance activities at an oppor- tunity. The original opportunistic replacement problemOptimization models for improving periodic maintenance schedules by utilizing opportunities Torgny of Technology Abstract We present mathematical models for finding optimal opportunistic maintenance schedules
Modelling, Simulation, Testing, and Optimization of Advanced Hybrid Vehicle Powertrains
Victoria, University of
Modelling, Simulation, Testing, and Optimization of Advanced Hybrid Vehicle Powertrains By Jeffrey of the author. #12;ii Modelling, Simulation, Testing and Optimization of Advanced Hybrid Vehicle Powertrains supplant conventional ICEs as the dominant technology, most notably electric and hybrid powertrains
Tronci, Enrico
AUTOMATIC GENERATION OF OPTIMAL CONTROLLERS THROUGH MODEL CHECKING TECHNIQUES Giuseppe Della Penna Keywords: Controller Synthesis, Controller Optimization, Model Checking, Nonlinear Systems Abstract: We INTRODUCTION Control systems (or, shortly, controllers) are small hardware/software components that control
Optimization Models in Finance (26:711:564) Andrzej Ruszczynski
to optimization models. 2 Elements of convex analysis. 3 Linear programming models. Optimality. 4 Duality in linear programming. Application to asset pricing. 5 Nonlinear programming models. Optimality. 6 Duality. Graded Work Homework will be assigned twice a month as a means to help you understand the concepts
Dynamics and real-time optimal control of satellite attitude and satellite formation systems
Yan, Hui
In this dissertation the solutions of the dynamics and real-time optimal control of magnetic attitude control and formation flying systems are presented. In magnetic attitude control, magnetic actuators for the time-optimal rest-to-rest maneuver...
Code Differentiation for Hydrodynamic Model Optimization
Henninger, R.J.; Maudlin, P.J.
Use of a hydrodynamics code for experimental data fitting purposes (an optimization problem) requires information about how a computed result changes when the model parameters change. These so-called sensitivities provide the gradient that determines the search direction for modifying the parameters to find an optimal result. Here, the authors apply code-based automatic differentiation (AD) techniques applied in the forward and adjoint modes to two problems with 12 parameters to obtain these gradients and compare the computational efficiency and accuracy of the various methods. They fit the pressure trace from a one-dimensional flyer-plate experiment and examine the accuracy for a two-dimensional jet-formation problem. For the flyer-plate experiment, the adjoint mode requires similar or less computer time than the forward methods. Additional parameters will not change the adjoint mode run time appreciably, which is a distinct advantage for this method. Obtaining ''accurate'' sensitivities for the j et problem parameters remains problematic.
Finding Benefits by Modeling and Optimizing Steam and Power Systems
Jones, B.; Nelson, D.
A site-wide steam modeling and optimization program (Visual MESA) was implemented at the INEOS Chocolate Bayou site. This program optimizes steam production, compressor turbine extraction, pump operation (turbine/motor) operation, as well...
Finding Benefits by Modeling and Optimizing Steam and Power SystemsĀ
Jones, B.; Nelson, D.
A site-wide steam modeling and optimization program (Visual MESA) was implemented at the INEOS Chocolate Bayou site. This program optimizes steam production, compressor turbine extraction, pump operation (turbine/motor) operation, as well...
15.094 Systems Optimization: Models and Computation, Spring 2002
Freund, Robert Michael
A computational and application-oriented introduction to the modeling of large-scale systems in a wide variety of decision-making domains and the optimization of such systems using state-of-the-art optimization software. ...
Optimal Control of Building HVAC Systems in the Presence of Imperfect Predictions, ASME Dynamic System Control Conference
Maasoumy, Mehdi
optimal control design for HVAC systems,ö in Dynamic Systemalgorithm design for hvac systems in energy efficient build-OPTIMAL CONTROL OF BUILDING HVAC SYSTEMS IN THE PRESENCE OF
Ergonomic Modelling and Optimization of the Keyboard Arrangement with an Ant Colony Optimization
Paris-Sud XI, Universitķ de
Ergonomic Modelling and Optimization of the Keyboard Arrangement with an Ant Colony Optimization justified the choice of heuristic ergonomic criteria, a mathematical function for the ergonomic eval- uation the arrangement have any alphanumeric logical order nor is it optimized according to a high hit rate or ergonomic
Nonlinear dynamic analysis of an optimal particle damper
MartĒn Sßnchez; C. Manuel Carlevaro
We study the dynamical behavior of a single degree of freedom mechanical system with a particle damper. The particle (granular) damping was optimized for the primary system operating condition by using an appropriate gap size for a prismatic enclosure. The particles absorb the kinetic energy of the vibrating structure and convert it into heat through the inelastic collisions and friction. This results in a highly nonlinear mechanical system. Considering linear signal analysis, state space reconstruction, Poincar\\'e sections and the determination of maximal Lyapunov exponents, the motion of the granular system inside the enclosure is characterized for a wide frequency range. With the excitation frequency as control parameter, either regular and chaotic motion of the granular bed are found and their influence on the damping is analyzed.
Optimal Supervisory Control of Discrete Event Dynamical Systems 1,2
Kumar, Ratnesh
Optimal Supervisory Control of Discrete Event Dynamical Systems 1,2 Ratnesh Kumar Department;Abstract We formalize the notion of optimal supervisory control of discrete event dynamical sys- tems (DEDS some undesired states, or not reaching some desired states in the controlled system. The control
A Relativistic Dynamical Collapse Model
Philip Pearle
A model is discussed where all operators are constructed from a quantum scalar field whose energy spectrum takes on all real values. The Schr\\"odinger picture wave function depends upon space and time coordinates for each particle, as well as an inexorably increasing evolution parameter $s$ which labels a foliation of space-like hypersurfaces. The model is constructed to be manifestly Lorentz invariant in the interaction picture. Free particle states and interactions are discussed in this framework. Then, the formalism of the CSL (Continuous Spontaneous Localization) theory of dynamical collapse is applied. The collapse-generating operator is chosen to to be the particle number space-time density. Unlike previous relativistically invariant models, the vacuum state is not excited. The collapse dynamics depends upon two parameters, a parameter $\\Lambda$ which represents the collapse rate/volume and a scale factor $\\ell$. A common example of collapse dynamics, involving a clump of matter in a superposition of two locations, is analyzed. The collapse rate is shown to be identical to that of non-relativistic CSL when the GRW-CSL choice of $\\ell=a=10^{-5}$cm, is made, along with $\\Lambda=\\lambda/a^{3}$ (GRW-CSL choice $\\lambda=10^{-16}s^{-1}$). However, it is also shown that the change of mass of a nucleon over the age of the universe is then unacceptably large. The case where $\\ell$ is the size of the universe is then considered. It is shown that the collapse behavior is satisfactory and the change of mass over the age of the universe is acceptably small, when $\\Lambda= \\lambda/\\ell a^{2}$.
Multiple Model Robust Dynamic Programming Eric C. Whitman and Christopher G. Atkeson
-- Modeling error is a common problem for model- based control techniques. We present multiple model dynamic programming (MMDP) as a method to generate controllers that are robust to modeling error. Our method generates controllers that are approximately optimal for a collection of models, thereby forcing the controller
Design of penalty functions for optimal control of linear dynamical systems under state and input constraints
Design of penalty functions for optimal control of linear dynamical systems under state and input of solving a constrained optimal control for a general single-input single output linear time varying system dimensional (functional optimization) case. The main novelty is that both the bounds on the control variable
External optimal control of self-organisation dynamics in a chemotaxis reaction diffusion system
Maurer, Helmut
External optimal control of self-organisation dynamics in a chemotaxis reaction diffusion system D of self-organising biological systems, we describe numerical optimal control of E. coli bacterial by applying a boundary influx control of chemoattractant without interfering with the system itself. Optimal
Optimization of stomatal conductance for maximum carbon gain under dynamic soil moisture
Katul, Gabriel
Optimization of stomatal conductance for maximum carbon gain under dynamic soil moisture Stefano Accepted 26 September 2013 Available online 9 October 2013 Keywords: Optimization Photosynthesis Soil moisture Stomatal conductance Transpiration a b s t r a c t Optimization theories explain a variety
Bayesian inference of stochastic dynamical models
Lu, Peter Guang Yi
A new methodology for Bayesian inference of stochastic dynamical models is developed. The methodology leverages the dynamically orthogonal (DO) evolution equations for reduced-dimension uncertainty evolution and the Gaussian ...
Optimal Synthesis of Complex Distillation ColumnsUsing Rigorous Models
Grossmann, Ignacio E.
a review of recent work for the optimal design of distillation of individual columns using tray review of the area of optimal design and synthesis of distillation columns, emphasizing recentOptimal Synthesis of Complex Distillation ColumnsUsing Rigorous Models Ignacio E. Grossmann1 , PĒo
Error Control Based Model Reduction for Parameter Optimization of Elliptic
of technical devices that rely on multiscale processes, such as fuel cells or batteries. As the solutionError Control Based Model Reduction for Parameter Optimization of Elliptic Homogenization Problems optimization of elliptic multiscale problems with macroscopic optimization functionals and microscopic material
Computational Modeling and Optimization of Proton Exchange Membrane Fuel Cells
Victoria, University of
Computational Modeling and Optimization of Proton Exchange Membrane Fuel Cells by Marc Secanell and Optimization of Proton Exchange Membrane Fuel Cells by Marc Secanell Gallart Bachelor in Engineering cells. In this thesis, a computational framework for fuel cell analysis and optimization is presented
Optimization Online - A stabilized model and an efficient solution ...
Vincent Guigues
Feb 24, 2011 ... A stabilized model and an efficient solution method for the yearly optimal power management. Vincent Guigues(vguigues ***at*** puc-rio.br).
H2 -optimal model reduction of MIMO systems
Keyword Multivariable systems, model reduction, optimal H2 approximation, tangential interpolation. 1 Introduction. In this paper we will consider the problem ofĀ...
Model Identification for Optimal Diesel Emissions Control
Stevens, Andrew J.; Sun, Yannan; Song, Xiaobo; Parker, Gordon
In this paper we develop a model based con- troller for diesel emission reduction using system identification methods. Specifically, our method minimizes the downstream readings from a production NOx sensor while injecting a minimal amount of urea upstream. Based on the linear quadratic estimator we derive the closed form solution to a cost function that accounts for the case some of the system inputs are not controllable. Our cost function can also be tuned to trade-off between input usage and output optimization. Our approach performs better than a production controller in simulation. Our NOx conversion efficiency was 92.7% while the production controller achieved 92.4%. For NH3 conversion, our efficiency was 98.7% compared to 88.5% for the production controller.
Stochastic Modeling of a Power-Managed System: Construction and Optimization
Qiu, Qinru
Stochastic Modeling of a Power-Managed System: Construction and Optimization Qinru Qiu, Qing Wu, CA 90089 Abstract -- The goal of a dynamic power management policy is to reduce the power consumption of a power-managed electronic system. We formulate the problem of system-level power management
Stochastic Modeling of a Power-Managed System: Construction and Optimization
Pedram, Massoud
1 Stochastic Modeling of a Power-Managed System: Construction and Optimization Qinru Qiu, Qing Wu, CA 90089 Abstract -- The goal of a dynamic power management policy is to reduce the power consumption of a power-managed electronic system. We formulate the problem of system-level power management
Modelling and Dynamic Simulation for Process Control
Skogestad, Sigurd
principles for model development are outlined, and these principles are applied to a simple ash tank (which. In this paper we consider dynamic process models obtained using fundamental principles (eg. based reactor, a simple trend analysis using temperature measurements may be suŲcient. Dynamic models
Adapted Convex Optimization Algorithm for Wavelet-Based Dynamic PET Reconstruction
Paris-Sud XI, Universit├® de
1 Adapted Convex Optimization Algorithm for Wavelet-Based Dynamic PET Reconstruction Nelly Abstract--This work deals with Dynamic Positron Emission Tomography (PET) data reconstruction, considering. The effectiveness of this approach is shown with simulated dynamic PET data. Comparative results are also provided
Quantitative Modeling of High Temperature Magnetization Dynamics
Zhang, Shufeng
Final Technical Report Project title: Quantitative Modeling of High Temperature Magnetization Dynamics DOE/Office of Science Program Manager Contact: Dr. James Davenport
Dynamic competition model for construction contractorsĀ
Kim, Hyung Jin
as an entity in a dynamic system, in which every entity is a profit optimizer responding to market conditions as well as its competitors' actions. In construction, the issue of competition has been focused on competitive bidding, which is a critical mechanism...
Dynamic competition model for construction contractors
Kim, Hyung Jin
as an entity in a dynamic system, in which every entity is a profit optimizer responding to market conditions as well as its competitors' actions. In construction, the issue of competition has been focused on competitive bidding, which is a critical mechanism...
Photocathode Optimization for a Dynamic Transmission Electron Microscope: Final Report
Ellis, P; Flom, Z; Heinselman, K; Nguyen, T; Tung, S; Haskell, R; Reed, B W; LaGrange, T
The Dynamic Transmission Electron Microscope (DTEM) team at Harvey Mudd College has been sponsored by LLNL to design and build a test setup for optimizing the performance of the DTEM's electron source. Unlike a traditional TEM, the DTEM achieves much faster exposure times by using photoemission from a photocathode to produce electrons for imaging. The DTEM team's work is motivated by the need to improve the coherence and current density of the electron cloud produced by the electron gun in order to increase the image resolution and contrast achievable by DTEM. The photoemission test setup is nearly complete and the team will soon complete baseline tests of electron gun performance. The photoemission laser and high voltage power supply have been repaired; the optics path for relaying the laser to the photocathode has been finalized, assembled, and aligned; the internal setup of the vacuum chamber has been finalized and mostly implemented; and system control, synchronization, and data acquisition has been implemented in LabVIEW. Immediate future work includes determining a consistent alignment procedure to place the laser waist on the photocathode, and taking baseline performance measurements of the tantalum photocathode. Future research will examine the performance of the electron gun as a function of the photoemission laser profile, the photocathode material, and the geometry and voltages of the accelerating and focusing components in the electron gun. This report presents the team's progress and outlines the work that remains.
Sensitivity of Optimal Operation of an Activated Sludge Process Model
Skogestad, Sigurd
Sensitivity of Optimal Operation of an Activated Sludge Process Model Antonio Araujo, Simone sensitivity analysis of optimal operation conducted on an activated sludge process model based on the test.[7] applied a systematic procedure for control structure design of an activated sludge process
Model-based Lifecycle Optimization of Well Locations
Van den Hof, Paul
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Math 574 --Optimization Models in Computational Biology (Spring 2008)
Krishnamoorthy, Bala
Bioinformatics and computational biology (BCB) is one of the "hottest" interdisciplinary areas of sci- ence todayMath 574 -- Optimization Models in Computational Biology (Spring 2008) Course Title Topics in Optimization: Models in Computational Biology Time Tue-Thu 12:00Ł1:15 pm Credits 3 Location Webster B12
Utility system integration and optimization models for nuclear power management
Deaton, Paul Ferris
A nuclear power management model suitable for nuclear utility systems optimization has been developed for use in multi-reactor fuel management planning over periods of up to ten years. The overall utility planning model ...
Local energy management through mathematical modeling and optimization
Craft David (David Loren), 1973-
(cont.) Extensions to the core TOTEM model include a demand charge model, used for making daily optimal control decisions when the electric bill includes a charge based on the monthly maximum power draw. The problem of ...
Optimal portfolios using Linear Programming models
Feb 12, 2003 ... The problem. The portfolio manager Sigma wants to construct an optimal portfolio for a customer. .... It is easy to show that it is also possibleĀ...
Conceptual aircraft dynamics from inverse aircraft modeling
Ziegler, Gregory E
This thesis presents a method of construe' ting a nonlinear dynamics model of a theoretical aircraft from the nonlinear batch simulation of an existing aircrew This method provides control law designers with a method of fabricating nonlinear models...
Model Validation with Hybrid Dynamic Simulation
Huang, Zhenyu; Kosterev, Dmitry; Guttromson, Ross T.; Nguyen, Tony B.
AbstractŚModel validation has been one of the central topics in power engineering studies for years. As model validation aims at obtaining reasonable models to represent actual behavior of power system components, it has been essential to validate models against actual measurements or known benchmark behavior. System-wide model simulation results can be compared with actual recordings. However, it is difficult to construct a simulation case for a large power system such as the WECC system and to narrow down to problematic models in a large system. Hybrid dynamic simulation with its capability of injecting external signals into dynamic simulation enables rigorous comparison of measurements and simulation in a small subsystem of interest. This paper presents such a model validation methodology with hybrid dynamic simulation. Two application examples on generator and load model validation are presented to show the validity of this model validation methodology. This methodology is further extended for automatic model validation and dichotomous subsystem model validation.
Benchmarking of Planning Models Using Recorded Dynamics
Huang, Zhenyu; Yang, Bo; Kosterev, Dmitry
Power system planning extensively uses model simulation to understand the dynamic behaviors and determine the operating limits of a power system. Model quality is key to the safety and reliability of electricity delivery. Planning model benchmarking, or model validation, has been one of the central topics in power engineering studies for years. As model validation aims at obtaining reasonable models to represent dynamic behavior of power system components, it has been essential to validate models against actual measurements. The development of phasor technology provides such measurements and represents a new opportunity for model validation as phasor measurements can capture power system dynamics with high-speed, time-synchronized data. Previously, methods for rigorous comparison of model simulation and recorded dynamics have been developed and applied to quantify model quality of power plants in the Western Electricity Coordinating Council (WECC). These methods can locate model components which need improvement. Recent work continues this effort and focuses on how model parameters may be calibrated to match recorded dynamics after the problematic model components are identified. A calibration method using Extended Kalman Filter technique is being developed. This paper provides an overview of prior work on model validation and presents new development on the calibration method and initial results of model parameter calibration.
Dynamic Sociometry in Particle Swarm Optimization Mark Richards and Dan Ventura
Martinez, Tony R.
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Dynamic Ping Optimization for Surveillance in Multistatic Sonar Buoy Networks with Energy Constraints
Amir, Yair
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IEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL. ?, NO. ?, ? 20? 1 Reaching an Optimal Consensus: Dynamical
Johansson, Karl Henrik
, is considered for continuous-time dynamics with time-varying interconnection topologies. Assuming that each node not only a consensus, but also an optimal agreement within the optimal solution set of the overall research topic, and rapid developments of distributed control protocols via interconnected communica- tion
Dynamical Arrest, Structural Disorder, and Optimization of Organic Photovoltaic Devices
Gould, Ian; Dmitry, Matyushov
This project describes fundamental experimental and theoretical work that relates to charge separation and migration in the solid, heterogeneous or aggregated state. Marcus theory assumes a system in equilibrium with all possible solvent (dipolar) configurations, with rapid interconversion among these on the ET timescale. This project has addressed the more general situation where the medium is at least partially frozen on the ET timescale, i.e. under conditions of dynamical arrest. The approach combined theory and experiment and includes: (1) Computer simulations of model systems, (2) Development of analytical procedures consistent with computer experiment and (3) Experimental studies and testing of the formal theories on this data. Electron transfer processes are unique as a consequence of the close connection between kinetics, spectroscopy and theory, which is an essential component of this work.
Optimization Online - Dynamic sampling algorithms for multi-stage ...
Andy Philpott
Dec 18, 2010 ... ... of hydro-thermal scheduling in the New Zealand electricity system. ... Citation: Technical report, Electric Power Optimization Centre,Ā...
Very Large System Dynamics Models - Lessons Learned
Jacob J. Jacobson; Leonard Malczynski
This paper provides lessons learned from developing several large system dynamics (SD) models. System dynamics modeling practice emphasize the need to keep models small so that they are manageable and understandable. This practice is generally reasonable and prudent; however, there are times that large SD models are necessary. This paper outlines two large SD projects that were done at two Department of Energy National Laboratories, the Idaho National Laboratory and Sandia National Laboratories. This paper summarizes the models and then discusses some of the valuable lessons learned during these two modeling efforts.
Optimization of the dynamic behavior of strongly nonlinear heterogeneous materials
Herbold, Eric B.
J. (2000) Response to Thermites to Dynamic High Pressure andmechanical deformation as in thermites Walley et al. (2000).
A Dynamic Near-Optimal Algorithm for Online Linear Programming
Ye, Yinyu
-time forward dynamic pricing for PEVs charging/discharging on smart-grid; Yinyu Ye Online Linear Program 2009
Correlation decay and decentralized optimization in graphical models
Weber, Theophane
Many models of optimization, statistics, social organizations and machine learning capture local dependencies by means of a network that describes the interconnections and interactions of different components. However, in ...
Simulation Models to Optimize the Energy Consumption of BuildingsĀ
Burhenne, S.; Jacob, D.
In practice, building operation systems are only adjusted during commissioning. This is done manually and leads to failure-free but often inefficient operation. This work deals with the development of simulation models to describe and optimize...
An Optimization Model for Eco-Driving at Signalized Intersection
Chen, Zhi
This research develops an optimization model for eco-driving at signalized intersection. In urban areas, signalized intersections are the ōhot spotsö of air emissions and have significant negative environmental and health impacts. Eco-driving is a...
Online Modeling in the Process Industry for Energy Optimization
Alexander, J.
"This paper discusses how steady state models are being used in the process industry to perform online energy optimization of steam and electrical systems. It presents process demands commonly found in the processing industry in terms of steam...
Dynamic Optimal Random Access for Vehicle-to-Roadside Communications
Huang, Jianwei
significant momentum in recent years, especially after the Federal Communications Commission (FCCDynamic Optimal Random Access for Vehicle-to-Roadside Communications Man Hon Cheung, Fen Hou access, efficient resource allocation schemes are required to fully utilize the limited communication
Contingency contractor optimization. Phase 3, model description and formulation.
Gearhart, Jared Lee; Adair, Kristin Lynn; Jones, Katherine A.; Bandlow, Alisa; Durfee, Justin D.; Jones, Dean A.; Martin, Nathaniel; Detry, Richard Joseph; Nanco, Alan Stewart; Nozick, Linda Karen [Cornell University
The goal of Phase 3 the OSD ATL Contingency Contractor Optimization (CCO) project is to create an engineering prototype of a tool for the contingency contractor element of total force planning during the Support for Strategic Analysis (SSA). An optimization model was developed to determine the optimal mix of military, Department of Defense (DoD) civilians, and contractors that accomplishes a set of user defined mission requirements at the lowest possible cost while honoring resource limitations and manpower use rules. An additional feature allows the model to understand the variability of the Total Force Mix when there is uncertainty in mission requirements.
Contingency contractor optimization. phase 3, model description and formulation.
Gearhart, Jared Lee; Adair, Kristin Lynn; Jones, Katherine A.; Bandlow, Alisa; Detry, Richard Joseph; Durfee, Justin D.; Jones, Dean A.; Martin, Nathaniel; Nanco, Alan Stewart; Nozick, Linda Karen
The goal of Phase 3 the OSD ATL Contingency Contractor Optimization (CCO) project is to create an engineering prototype of a tool for the contingency contractor element of total force planning during the Support for Strategic Analysis (SSA). An optimization model was developed to determine the optimal mix of military, Department of Defense (DoD) civilians, and contractors that accomplishes a set of user defined mission requirements at the lowest possible cost while honoring resource limitations and manpower use rules. An additional feature allows the model to understand the variability of the Total Force Mix when there is uncertainty in mission requirements.
Keratin Dynamics: Modeling the Interplay between Turnover and Transport
Stephanie Portet; Anotida Madzvamuse; Andy Chung; Rudolf E. Leube; Reinhard Windoffer
Keratin are among the most abundant proteins in epithelial cells. Functions of the keratin network in cells are shaped by their dynamical organization. Using a collection of experimentally-driven mathematical models, different hypotheses for the turnover and transport of the keratin material in epithelial cells are tested. The interplay between turnover and transport and their effects on the keratin organization in cells are hence investigated by combining mathematical modeling and experimental data. Amongst the collection of mathematical models considered, a best model strongly supported by experimental data is identified. Fundamental to this approach is the fact that optimal parameter values associated with the best fit for each model are established. The best candidate among the best fits is characterized by the disassembly of the assembled keratin material in the perinuclear region and an active transport of the assembled keratin. Our study shows that an active transport of the assembled keratin is required to explain the experimentally observed keratin organization.
Optimal Model-Based Production Planning
Grossmann, Ignacio E.
1. Overall material balance around the column: using LP equations only 2. Material balance initialization is important for convergence Initial values are generated using optimized column material balance for the column internal streams: using NLP equations. No energy balance or equilibrium equation Additional
Optimization Online - On the Dynamic Stability of Electricity Markets
Victor M. Zavala
Jan 31, 2011 ... On the Dynamic Stability of Electricity Markets. Victor M. Zavala (vzavala ***at*** mcs.anl.gov) Mihai Anitescu (anitescu ***at*** mcs.anl.gov).
Modeling and optimization of a chiller plant Xiupeng Wei*
Kusiak, Andrew
Modeling and optimization of a chiller plant Xiupeng Wei* , Guanglin Xu 1 , Andrew Kusiak 1 algorithm Chiller plant Neural network Data-driven model a b s t r a c t A data-driven approach is utilized to model a chiller plant that has four chillers, four cooling towers, and two chilled water storage tanks
Modeling and Optimizing Ergonomic Activities in Automobile Product Development
da Silva, Alberto Rodrigues
Modeling and Optimizing Ergonomic Activities in Automobile Product Development Jo├Żo Ferreira firstname.lastname@example.com Abstract We collect ergonomic rules and normative rules considerations for automobile business and modeled these activities with a special UML language created for automobile business, VDML (Vehicle Development Modeling
Protein viscoelastic dynamics: a model system
Craig Fogle; Joseph Rudnick; David Jasnow
A model system inspired by recent experiments on the dynamics of a folded protein under the influence of a sinusoidal force is investigated and found to replicate many of the response characteristics of such a system. The essence of the model is a strongly over-damped oscillator described by a harmonic restoring force for small displacements that reversibly yields to stress under sufficiently large displacement. This simple dynamical system also reveals unexpectedly rich behavior, exhibiting a series of dynamical transitions and analogies with equilibrium thermodynamic phase transitions. The effects of noise and of inertia are briefly considered and described.
Model Validation with Hybrid Dynamic Simulation
Huang, Zhenyu; Kosterev, Dmitry; Guttromson, Ross T.; Nguyen, Tony B.
AbstractŚModel validation has been one of the central topics in power engineering studies for years. As model validation aims at obtaining reasonable models to represent actual behavior of power system components, it has been essential to validate models against actual measurements or known benchmark behavior. System-wide model simulation results can be compared with actual recordings. However, it is difficult to construct a simulation case for a large power system such as the WECC system and to narrow down to problematic models in a large system. Hybrid dynamic simulation with its capability of injecting external signals into dynamic simulation enables rigorous comparison of measurements and simulation in a small subsystem of interest. This paper presents such a model validation methodology with hybrid dynamic simulation. Two application examples on generator and load model validation are presented to show the validity of this model validation methodology. This methodology is further extended for automatic model validation and dichotomous subsystem model validation. A few methods to define model quality indices have been proposed to quantify model error for model validation criteria development.
A next-generation modeling capability assesses wind turbine array fluid dynamics and aeroelastic simulations
A next-generation modeling capability assesses wind turbine array fluid dynamics and aeroelastic simulations Characterizing and optimizing overall performance of wind plants composed of large numbers at the National Renewable Energy Laboratory (NREL) are coupling physical models of the atmosphere and wind
Optimized Dynamical Decoupling in ?-Type n-Level Quantum Systems
Linping Chan; Shuang Cong
In this paper, we first design a type of Bang-Bang (BB) operation group to reduce the phase decoherence in a {\\Xi}-type n-level quantum system based on the dynamical decoupling mechanism. Then, we derive two kinds of dynamical decoupling schemes: periodic dynamical decoupling (PDD) and Uhrig dynamical decoupling (UDD). We select the non-diagonal element of density matrix as a reference index, and investigate the behavior of quantum coherence of the {\\Xi}-type n-level atom under these two dynamical decoupling schemes proposed. At last, we choose a {\\Xi}-type six-level atom as a system controlled, and use the decoupling schemes proposed to suppress the phase decoherence. The simulation experiments and the comparison results are given.
Dynamical models with a general anisotropy profile
M. Baes; E. Van Hese
Both numerical simulations and observational evidence indicate that the outer regions of galaxies and dark matter haloes are typically mildly to significantly radially anisotropic. The inner regions can be significantly non-isotropic, depending on the dynamical formation and evolution processes. In an attempt to break the lack of simple dynamical models that can reproduce this behaviour, we explore a technique to construct dynamical models with an arbitrary density and an arbitrary anisotropy profile. We outline a general construction method and propose a more practical approach based on a parameterized anisotropy profile. This approach consists of fitting the density of the model with a set of dynamical components, each of which have the same anisotropy profile. Using this approach we avoid the delicate fine-tuning difficulties other fitting techniques typically encounter when constructing radially anisotropic models. We present a model anisotropy profile that generalizes the Osipkov-Merritt profile, and that can represent any smooth monotonic anisotropy profile. Based on this model anisotropy profile, we construct a very general seven-parameter set of dynamical components for which the most important dynamical properties can be calculated analytically. We use the results to look for simple one-component dynamical models that generate simple potential-density pairs while still supporting a flexible anisotropy profile. We present families of Plummer and Hernquist models in which the anisotropy at small and large radii can be chosen as free parameters. We also generalize these two families to a three-parameter family that self-consistently generates the set of Veltmann potential-density pairs. (Abridged...)
COBRA-SFS modifications and cask model optimization
Rector, D.R.; Michener, T.E.
Spent-fuel storage systems are complex systems and developing a computational model for one can be a difficult task. The COBRA-SFS computer code provides many capabilities for modeling the details of these systems, but these capabilities can also allow users to specify a more complex model than necessary. This report provides important guidance to users that dramatically reduces the size of the model while maintaining the accuracy of the calculation. A series of model optimization studies was performed, based on the TN-24P spent-fuel storage cask, to determine the optimal model geometry. Expanded modeling capabilities of the code are also described. These include adding fluid shear stress terms and a detailed plenum model. The mathematical models for each code modification are described, along with the associated verification results. 22 refs., 107 figs., 7 tabs.
Consistent nonlinear dynamics: identifying model inadequacy
Patrick E. McSharry; Leonard A. Smith
Empirical modelling often aims for the simplest model consistent with the data. A new technique is presented which quantifies the consistency of the model dynamics as a function of location in state space. As is well-known, traditional statistics of nonlinear models like root-mean-square (RMS) forecast error can prove misleading. Testing consistency is shown to overcome some of the deficiencies of RMS error, both within the perfect model scenario and when applied to data from several physical systems using previously published models. In particular, testing for consistent nonlinear dynamics provides insight towards (i) identifying when a delay reconstruction fails to be an embedding, (ii) allowing state dependent model selection and (iii) optimising local neighbourhood size. It also provides a more relevant (state dependent) threshold for identifying false nearest neighbours.
Data-driven learning in dynamic pricing using adaptive optimization
across most industries, enabling retailers to leverage on both sides of the ... Indeed, in the context of revenue management, demand learning ... were the first to highlight the possibility of incomplete learning in dynamic pricing (building upon.
Dynamic Modeling of Butterfly Subdivision Surfaces
Qin, Hong
on control vertices. This provides the user an intuitive and natural feeling that is produced while modeling manipulation of control points, whereas we provide interaction tools that directly manipulate the smooth limitDynamic Modeling of Butterfly Subdivision Surfaces Chhandomay Mandal, Hong Qin, Member, IEEE
Modeling dynamic swarms q Bernard Ghanem a,
Ahuja, Narendra
a c t This paper proposes the problem of modeling video sequences of dynamic swarms (DSs). We define of our method by conducting experiments on real and synthetic video sequences. Real sequences of birds Elsevier Inc. All rights reserved. 1. Introduction This paper is about modeling video sequences of a dense
Modeling the Dynamics of Compromised Networks
Soper, B; Merl, D M
Accurate predictive models of compromised networks would contribute greatly to improving the effectiveness and efficiency of the detection and control of network attacks. Compartmental epidemiological models have been applied to modeling attack vectors such as viruses and worms. We extend the application of these models to capture a wider class of dynamics applicable to cyber security. By making basic assumptions regarding network topology we use multi-group epidemiological models and reaction rate kinetics to model the stochastic evolution of a compromised network. The Gillespie Algorithm is used to run simulations under a worst case scenario in which the intruder follows the basic connection rates of network traffic as a method of obfuscation.
Dynamical System Analysis for a phantom model
Nilanjana Mahata; Subenoy Chakraborty
The paper deals with a dynamical system analysis related to phantom cosmological model . Here gravity is coupled to phantom scalar field having scalar coupling function and a potential. The field equations are reduced to an autonomous dynamical system by a suitable redefinition of the basic variables and assuming some suitable form of the potential function. Finally, critical points are evaluated, their nature have been analyzed and corresponding cosmological scenario has been discussed.
OPTIMAL EXPERIMENTAL DESIGN FOR MODELING BATTERY DEGRADATION Joel C. Forman
Krstic, Miroslav
, battery health dependence on voltage, and a lack of power fade under the cy- cling conditions. The useOPTIMAL EXPERIMENTAL DESIGN FOR MODELING BATTERY DEGRADATION Joel C. Forman Mechanical Engineering.edu ABSTRACT Accurate battery health modeling allows one to make better design decisions, enables health
Finding Benefits by Modeling and Optimizing Steam and Power Systems
Harper, C.; Nelson, D. A.
operator is given optimal production targets to achieve from Visual MESA Online writing to the plants SCADA system. The OCC duty control engineer monitors BayouÆs operations and the online Visual MESA model and also runs offline models to analyze potential...
A grid model for the design, coordination and dimensional optimization
Paris-Sud XI, Universitķ de
A grid model for the design, coordination and dimensional optimization in architecture D.Lķonard1 54000 Nancy, France INTRODUCTION Our article treats layout grids in architecture and their use. It initially proposes to define an architectural grid model as well as a set of operations to construct them
Dynamical dark matter. II. An explicit model
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Dienes, Keith R.; Thomas, Brooks
In a recent paper [K. R. Dienes and B. Thomas, Phys. Rev. D 85, 083523 (2012).], we introduced ōdynamical dark matter,ö a new framework for dark-matter physics, and outlined its underlying theoretical principles and phenomenological possibilities. Unlike most traditional approaches to the dark-matter problem which hypothesize the existence of one or more stable dark-matter particles, our dynamical dark-matter framework is characterized by the fact that the requirement of stability is replaced by a delicate balancing between cosmological abundances and lifetimes across a vast ensemble of individual dark-matter components. This setup therefore collectively produces a time-varying cosmological dark-matter abundance, and the different dark-matter components can interact and decay throughout the current epoch. While the goal of our previous paper was to introduce the broad theoretical aspects of this framework, the purpose of the current paper is to provide an explicit model of dynamical dark matter and demonstrate that this model satisfies all collider, astrophysical, and cosmological constraints. The results of this paper therefore constitute an ōexistence proofö of the phenomenological viability of our overall dynamical dark-matter framework, and demonstrate that dynamical dark matter is indeed a viable alternative to the traditional paradigm of dark-matter physics. Dynamical dark matter must therefore be considered alongside other approaches to the dark-matter problem, particularly in scenarios involving large extra dimensions or string theory in which there exist large numbers of particles which are neutral under standard-model symmetries.
Optimization Online - Nonlinear Model Predictive Control via ...
M. J. Tenny
Aug 15, 2002 ... Nonlinear Model Predictive Control via Feasibility-Perturbed Sequential Quadratic Programming. M. J. Tenny (tenny ***at*** bevo.che.wisc.edu)
Optimization Online - Extending Algebraic Modelling Languages for ...
Christian Valente
Dec 27, 2006 ... Extending Algebraic Modelling Languages for Stochastic Programming. Christian Valente(Christian.Valente ***at*** brunel.ac.uk) GautamĀ...
Gravitational Lens Modeling with Genetic Algorithms and Particle Swarm Optimizers
Rogers, Adam
Strong gravitational lensing of an extended object is described by a mapping from source to image coordinates that is nonlinear and cannot generally be inverted analytically. Determining the structure of the source intensity distribution also requires a description of the blurring effect due to a point spread function. This initial study uses an iterative gravitational lens modeling scheme based on the semilinear method to determine the linear parameters (source intensity profile) of a strongly lensed system. Our 'matrix-free' approach avoids construction of the lens and blurring operators while retaining the least squares formulation of the problem. The parameters of an analytical lens model are found through nonlinear optimization by an advanced genetic algorithm (GA) and particle swarm optimizer (PSO). These global optimization routines are designed to explore the parameter space thoroughly, mapping model degeneracies in detail. We develop a novel method that determines the L-curve for each solution automa...
Kassel, Universitõt
, the dream was realized to actively exert control over quantum systems. Active control over the dynamics of quantum mechanical systems is a fascinating perspective in modern physics. Cleavage and creation? The theoretical and experimental development of suitable control schemes is a fascinating prospect of modern
Robust Optimization over Time A New Perspective on Dynamic Optimization Problems
Yao, Xin
the energy efficiency of turbine engines. Meanwhile, most of the real-world optimization problems are subject to various types of uncertainties. For example in stock markets, political and economical envi- ronments (NICAL), School of Computer Science and Technology, University of Science and Technology of China, Hefei
Stochastic Modeling of a Power-Managed System: Construction and Optimization Qinru Qiu, Qing Wu and Massoud Pedram
Qiu, Qinru
1 Stochastic Modeling of a Power-Managed System: Construction and Optimization Qinru Qiu, Qing Wu, CA 90089 Abstract -- The goal of a dynamic power management policy is to reduce the power consumption of a power-managed electronic system. We formulate the problem of system-level power management
Deriving a Near-optimal Power Management Policy Using Model-Free Reinforcement Learning and Bayesian Classification
Pedram, Massoud
Deriving a Near-optimal Power Management Policy Using Model- Free Reinforcement Learning hardware and application characteristics, dynamic power management (DPM) frameworks must be able to learn about the system inputs and environment and adjust the power management policy on the fly. In this paper
Modeling and optimization of Interpenetrating polymer
Grossmann, Ignacio E.
-state mass balance conservation equation Reaction-diffusion model Fick's first law Concentration Velocity to design new materials ┬Ł Key characteristic : Tough & flexible ┬Ę High value material Huge market industry 3
Prerequisites: Engine Systems, Dynamic Programming and Optimal Control, MATLAB/Simulink
Lygeros, John
Prerequisites: Engine Systems, Dynamic Programming and Optimal Control, MATLAB/Simulink Contact: Mu of Nonroad Diesel Engines with SCR Systems Description: To fulfill the emission legislation, modern nonroad, the objective of this work is to develop a control structure for integrated control of the system "Engine + SCR
Flow analysis and nozzle-shape optimization for the cold-gas dynamic-spray process
Grujicic, Mica
Flow analysis and nozzle-shape optimization for the cold-gas dynamic-spray process M Grujicic1*, W, maximizes the acceleration of the particles. Furthermore, it is found that if the cold-spray nozzle, a significant increase in the average velocity of the particles at the nozzle exit can be obtained
Near-Optimal, Dynamic Module Reconfiguration in a Photovoltaic System to Combat Partial Shading Effects
Pedram, Massoud
Near-Optimal, Dynamic Module Reconfiguration in a Photovoltaic System to Combat Partial email@example.com, firstname.lastname@example.com ABSTRACT Partial shading is a serious obstacle to effective utilization of photovoltaic and Subject Descriptors B.8.2 [Performance and Reliability]: Performance Analysis and Design Aids. General
The Value of Optimization in Dynamic Ride-Sharing: a Simulation Study in Metro Atlanta
Erera, Alan
of travelers per vehicle trip by effective usage of empty car seats by ride-sharing may of course enhance, and pollution. Moreover, ride-sharing allows users to share car-related expenses such as fuel costs. 1 #12;ByThe Value of Optimization in Dynamic Ride-Sharing: a Simulation Study in Metro Atlanta Niels Agatz
Dynamic online optimization of a house heating system in a fluctuating energy price
Skogestad, Sigurd
production should cover the demand at any given time. One possible approach to overcome this, is demand side and weather forecasts. The dynamic energy pricing for demand load management is in itself a non of the energy consumption in a building with energy storage capabilities. The goal is to find optimal policies
Dynamic online optimization of a house heating system in a fluctuating energy price
Skogestad, Sigurd
at any given time. One possible approach to overcome this drawback is de- mand side load management. Here to demand information and weather forecasts. The dynamic energy pricing for demand load management of the energy consumption in a building with energy storage capabilities. The goal is to find optimal policies
Gain-scheduled `1 -optimal control for boiler-turbine dynamics
Shamma, Jeff S.
, into the mechanical energy acting on the turbine and generator. The steam generated in the boiler system servesGain-scheduled `1 -optimal control for boiler-turbine dynamics with actuator saturation Pang; accepted 2 June 2003 Abstract This paper presents a gain-scheduled approach for boiler-turbine controller
Modeling of Reactor Kinetics and Dynamics
Matthew Johnson; Scott Lucas; Pavel Tsvetkov
In order to model a full fuel cycle in a nuclear reactor, it is necessary to simulate the short time-scale kinetic behavior of the reactor as well as the long time-scale dynamics that occur with fuel burnup. The former is modeled using the point kinetics equations, while the latter is modeled by coupling fuel burnup equations with the kinetics equations. When the equations are solved simultaneously with a nonlinear equation solver, the end result is a code with the unique capability of modeling transients at any time during a fuel cycle.
Mease, Kenneth D.
DYNAMIC MODELING PROTON EXCHANGE MEMBRANE FUEL CELL OVERVIEW Current/Completed Plug Power to garner SCAQMD funding for fuel cell testing GenCore system is sensitive to diluents Ę As built design stream to compensate for removal of EGR Ę Functionality of the modified GenCore Fuel Cell system
Modeling the Dynamics of Fermentation and Respiratory
Sheffield, University of
, denitrification, and SO4-reduction). The accumulation of acetate as a fermentation product within the plume species, e.g., H2(aq) or acetate, followed by respiration by other groups of organisms where fermentationModeling the Dynamics of Fermentation and Respiratory Processes in a Groundwater Plume of Phenolic
A Two-Stage Algorithm for Multi-Scenario Dynamic Optimization Problem
Grossmann, Ignacio E.
& flexible Low productivity & difficult to control (Semi-Interpenetrating Polymer Network) SIPN #12;Swelling Polymerization Complex diffusion; single component reaction Crosslinking Complex composite networking reaction Modeling Project Review (2) Control variables Optimization Approach Ę Initial polymer Ę Monomer
Stochastic dynamic optimization of consumption and the induced price elasticity of demand in smart grids
Faghih, Ali
This thesis presents a mathematical model of consumer behavior in response to stochastically-varying electricity prices, and a characterization of price-elasticity of demand created by optimal utilization of storage and ...
Efficient Production Optimization Using Flow Network Models
Lerlertpakdee, Pongsathorn
of the physical processes that govern the long-term behavior of the reservoir. We present an alternative solution that combines the advantages of both statistics-based and physics-based methods by deriving the flow predictions in complex two-dimensional models...
Feature extraction for structural dynamics model validation
Hemez, Francois [Los Alamos National Laboratory; Farrar, Charles [Los Alamos National Laboratory; Park, Gyuhae [Los Alamos National Laboratory; Nishio, Mayuko [UNIV OF TOKYO; Worden, Keith [UNIV OF SHEFFIELD; Takeda, Nobuo [UNIV OF TOKYO
This study focuses on defining and comparing response features that can be used for structural dynamics model validation studies. Features extracted from dynamic responses obtained analytically or experimentally, such as basic signal statistics, frequency spectra, and estimated time-series models, can be used to compare characteristics of structural system dynamics. By comparing those response features extracted from experimental data and numerical outputs, validation and uncertainty quantification of numerical model containing uncertain parameters can be realized. In this study, the applicability of some response features to model validation is first discussed using measured data from a simple test-bed structure and the associated numerical simulations of these experiments. issues that must be considered were sensitivity, dimensionality, type of response, and presence or absence of measurement noise in the response. Furthermore, we illustrate a comparison method of multivariate feature vectors for statistical model validation. Results show that the outlier detection technique using the Mahalanobis distance metric can be used as an effective and quantifiable technique for selecting appropriate model parameters. However, in this process, one must not only consider the sensitivity of the features being used, but also correlation of the parameters being compared.
Optimal channel allocation with dynamic power control in cellular networks
Wu, Xin; Bari, Ataul; 10.5121/ijcnc.2011.3206
Techniques for channel allocation in cellular networks have been an area of intense research interest for many years. An efficient channel allocation scheme can significantly reduce call-blocking and calldropping probabilities. Another important issue is to effectively manage the power requirements for communication. An efficient power control strategy leads to reduced power consumption and improved signal quality. In this paper, we present a novel integer linear program (ILP) formulation that jointly optimizes channel allocation and power control for incoming calls, based on the carrier-to-interference ratio (CIR). In our approach we use a hybrid channel assignment scheme, where an incoming call is admitted only if a suitable channel is found such that the CIR of all ongoing calls on that channel, as well as that of the new call, will be above a specified value. Our formulation also guarantees that the overall power requirement for the selected channel will be minimized as much as possible and that no ongoin...
Characterization of control noise effects in optimal quantum unitary dynamics
David Hocker; Constantin Brif; Matthew D. Grace; Ashley Donovan; Tak-San Ho; Katharine Moore Tibbetts; Rebing Wu; Herschel Rabitz
This work develops measures for quantifying the effects of field noise upon targeted unitary transformations. Robustness to noise is assessed in the framework of the quantum control landscape, which is the mapping from the control to the unitary transformation performance measure (quantum gate fidelity). Within that framework, a new geometric interpretation of stochastic noise effects naturally arises, where more robust optimal controls are associated with regions of small overlap between landscape curvature and the noise correlation function. Numerical simulations of this overlap in the context of quantum information processing reveal distinct noise spectral regimes that better support robust control solutions. This perspective shows the dual importance of both noise statistics and the control form for robustness, thereby opening up new avenues of investigation on how to mitigate noise effects in quantum systems.
Bootstrap for model selection: linear approximation of the optimism
Verleysen, Michel
Bootstrap for model selection: linear approximation of the optimism G. Simon1 , A. Lendasse2 , M. LemaŅtre 4, B-1348 Louvain-la-Neuve, Belgium, firstname.lastname@example.com Abstract. The bootstrap resampling, as artificial neural networks. Nevertheless, the use of the bootstrap implies a high computational load
Mathematical Modeling of PDGF-Driven Glioblastoma Reveals Optimized
Theory Mathematical Modeling of PDGF-Driven Glioblastoma Reveals Optimized Radiation Dosing is inevi- table and survival has improved minimally over the last 50 years. Recent studies have suggested from glioblastoma (GBM), the most common and malignant primary brain tumor, have very poor survival
Optimization Models for Shale Gas Water Management Linlin Yang
Grossmann, Ignacio E.
Optimization Models for Shale Gas Water Management Linlin Yang , Jeremy Manno and Ignacio E. Grossmann Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh, PA Carrizo Oil & Gas and multiple scenarios from historical data. Two examples representative of the Marcellus Shale play
Boyer, Edmond
- action model is used to simulate the structural-functional plant growth conditioned by water status approach of dynamic programming is used. KEY WORDS Irrigation scheduling, plant-soil model, water stress]). In the coupling approach, we simulate the soil water balance by PILOTE to get the water stress index. Plant
Structural system identification: Structural dynamics model validation
Red-Horse, J.R.
Structural system identification is concerned with the development of systematic procedures and tools for developing predictive analytical models based on a physical structure`s dynamic response characteristics. It is a multidisciplinary process that involves the ability (1) to define high fidelity physics-based analysis models, (2) to acquire accurate test-derived information for physical specimens using diagnostic experiments, (3) to validate the numerical simulation model by reconciling differences that inevitably exist between the analysis model and the experimental data, and (4) to quantify uncertainties in the final system models and subsequent numerical simulations. The goal of this project was to develop structural system identification techniques and software suitable for both research and production applications in code and model validation.
Dynamical cooling of a single-reservoir open quantum system via optimal control
Schmidt, Rebecca; Ankerhold, Joachim; Calarco, Tommaso; Stockburger, J³rgen T
Based on an exact description of open quantum systems in terms of stochastic Liouville-von Neumann equations optimal control is investigated without rotating-wave or Markovian approximations. Within this scheme we generalize Krotov's iterative algorithm, preserving its monotonic convergence. This formalism is applied to the problem of controlling a particle in a harmonic potential whose thermal bath is characterized by an ohmic spectrum. Interestingly, optimal control can modify the quantum dissipative dynamics to the point where its entropy change turns negative. We provide an example where translational motion is cooled without any involvement of internal degrees of freedom.
The dynamic radiation environment assimilation model (DREAM)
Reeves, Geoffrey D [Los Alamos National Laboratory; Koller, Josef [Los Alamos National Laboratory; Tokar, Robert L [Los Alamos National Laboratory; Chen, Yue [Los Alamos National Laboratory; Henderson, Michael G [Los Alamos National Laboratory; Friedel, Reiner H [Los Alamos National Laboratory
The Dynamic Radiation Environment Assimilation Model (DREAM) is a 3-year effort sponsored by the US Department of Energy to provide global, retrospective, or real-time specification of the natural and potential nuclear radiation environments. The DREAM model uses Kalman filtering techniques that combine the strengths of new physical models of the radiation belts with electron observations from long-term satellite systems such as GPS and geosynchronous systems. DREAM includes a physics model for the production and long-term evolution of artificial radiation belts from high altitude nuclear explosions. DREAM has been validated against satellites in arbitrary orbits and consistently produces more accurate results than existing models. Tools for user-specific applications and graphical displays are in beta testing and a real-time version of DREAM has been in continuous operation since November 2009.
Towards a Simplified Dynamic Wake Model using POD Analysis
Bastine, David; Wõchter, Matthias; Peinke, Joachim
We apply the proper orthogonal decomposition (POD) to large eddy simulation data of a wind turbine wake in a turbulent atmospheric boundary layer. The turbine is modeled as an actuator disk. Our analyis mainly focuses on the question whether POD could be a useful tool to develop a simplified dynamic wake model. The extracted POD modes are used to obtain approximate descriptions of the velocity field. To assess the quality of these POD reconstructions, we define simple measures which are believed to be relevant for a sequential turbine in the wake such as the energy flux through a disk in the wake. It is shown that only a few modes are necessary to capture basic dynamical aspects of these measures even though only a small part of the turbulent kinetic energy is restored. Furthermore, we show that the importance of the individual modes depends on the measure chosen. Therefore, the optimal choice of modes for a possible model could in principle depend on the application of interest. We additionally present a pos...
Direct modelling of envelope dynamics in resonant inverters
is to model the AC dynamics from input modulation to output envelops to facilitate optimised controller designDirect modelling of envelope dynamics in resonant inverters Y. Yin, R. Zane, R. Erickson and J. Glaser A direct dynamic modelling approach is proposed for envelope signals in resonant inverters
System Modeling, Analysis, and Optimization Methodology for Diesel Exhaust After-treatment Technologies
de Weck, Olivier L.
System Modeling, Analysis, and Optimization Methodology for Diesel Exhaust After;System Modeling, Analysis, and Optimization Methodology for Diesel Exhaust After-treatment Technologies Developing new aftertreatment technologies to meet emission regulations for diesel engines is a growing
Mooring Line Modelling and Design Optimization of Floating Offshore Wind Turbines
Victoria, University of
Mooring Line Modelling and Design Optimization of Floating Offshore Wind Turbines by Matthew Thomas Mooring Line Modelling and Design Optimization of Floating Offshore Wind Turbines by Matthew Thomas Jair. Curran Crawford, Supervisor (Department of Mechanical Engineering) ABSTRACT Floating offshore wind
Analytical modeling of balloon launch dynamics
Strganac, Thomas W
Subject; Aerospace Engineer1ng ANALYTICAL MODELING OF BALLOON LAUNCH DYNAMICS A Thesis by THOMAS WILLIAM STRGANAC Approved as to sty1e and content by: (Chairman of Committee) (Member) (Member) (Head of Dep rtment) December 1980 ABSTRACT Analyt1... aerodynam1cs. Actual fl1ght data has been used to qualify the model via comparisons of the launch trans1ent configurations. DEDICATION To my father. . THOMAS JOHN STRGANAC 1922-1980 . . . who provided me the examp1e to fo1Iow in life. ACKNOWLEDGEMENTS...
Optimal Control of Quantum Dissipative Dynamics: Analytic solution for cooling the three level $?$ system
Shlomo E. Sklarz; David J. Tannor; Navin Khaneja
We study the problem of optimal control of dissipative quantum dynamics. Although under most circumstances dissipation leads to an increase in entropy (or a decrease in purity) of the system, there is an important class of problems for which dissipation with external control can decrease the entropy (or increase the purity) of the system. An important example is laser cooling. In such systems, there is an interplay of the Hamiltonian part of the dynamics, which is controllable and the dissipative part of the dynamics, which is uncontrollable. The strategy is to control the Hamiltonian portion of the evolution in such a way that the dissipation causes the purity of the system to increase rather than decrease. The goal of this paper is to find the strategy that leads to maximal purity at the final time. Under the assumption that Hamiltonian control is complete and arbitrarily fast, we provide a general framework by which to calculate optimal cooling strategies. These assumptions lead to a great simplification, in which the control problem can be reformulated in terms of the spectrum of eigenvalues of $\\rho$, rather than $\\rho$ itself. By combining this formulation with the Hamilton-Jacobi-Bellman theorem we are able to obtain an equation for the globaly optimal cooling strategy in terms of the spectrum of the density matrix. For the three-level $\\Lambda$ system, we provide a complete analytic solution for the optimal cooling strategy. For this system it is found that the optimal strategy does not exploit system coherences and is a 'greedy' strategy, in which the purity is increased maximally at each instant.
A Game-Theoretical Dynamic Model for Electricity Markets
Aswin Kannan
Oct 6, 2010 ... Abstract: We present a game-theoretical dynamic model for competitive electricity markets.We demonstrate that the model can be used toĀ...
Performance monitoring for new phase dynamic optimization of instruction dispatch cluster configuration
Balasubramonian, Rajeev (Sandy, UT); Dwarkadas, Sandhya (Rochester, NY); Albonesi, David (Ithaca, NY)
In a processor having multiple clusters which operate in parallel, the number of clusters in use can be varied dynamically. At the start of each program phase, the configuration option for an interval is run to determine the optimal configuration, which is used until the next phase change is detected. The optimum instruction interval is determined by starting with a minimum interval and doubling it until a low stability factor is reached.
An Optimization Approach for Effective Formalized fUML Model Checking
Doran, Simon J.
An Optimization Approach for Effective Formalized fUML Model Checking Islam Abdelhalim, Steve that makes use of a restricted CSP model (because it follows certain formalization rules) to optimize; the first one provides optimization advice to the modeller, while the second one au- tomatically applies
Dynamical Models for the Milky Way
Walter Dehnen; James Binney
The only way to map the Galaxy's gravitational potential $\\Phi({\\bf x})$ and the distribution of matter that produces it is by modelling the dynamics of stars and gas. Observations of the kinematics of gas provide key information about gradients of $\\Phi$ within the plane, but little information about the structure of $\\Phi$ out of the plane. Traditional Galaxy models {\\em assume}, for each of the Galaxy's components, arbitrary flattenings, which together with the components' relative masses yield the model's equipotentials. However, the Galaxy's isopotential surfaces should be {\\em determined\\/} directly from the motions of stars that move far from the plane. Moreover, from the kinematics of samples of such stars that have well defined selection criteria, one should be able not only to map $\\Phi$ at all positions, but to determine the distribution function $f_i({\\bf x},{\\bf v})$ of each stellar population $i$ studied. These distribution functions will contain a wealth of information relevant to the formation and evolution of the Galaxy. An approach to fitting a wide class of dynamical models to the very heterogeneous body of available data is described and illustrated.
Discrete-Time ARMAv Model-Based Optimal Sensor Placement
Song Wei; Dyke, Shirley J. [Washington University in St. Louis, St. Louis, MO 63130 (United States)
This paper concentrates on the optimal sensor placement problem in ambient vibration based structural health monitoring. More specifically, the paper examines the covariance of estimated parameters during system identification using auto-regressive and moving average vector (ARMAv) model. By utilizing the discrete-time steady state Kalman filter, this paper realizes the structure's finite element (FE) model under broad-band white noise excitations using an ARMAv model. Based on the asymptotic distribution of the parameter estimates of the ARMAv model, both a theoretical closed form and a numerical estimate form of the covariance of the estimates are obtained. Introducing the information entropy (differential entropy) measure, as well as various matrix norms, this paper attempts to find a reasonable measure to the uncertainties embedded in the ARMAv model estimates. Thus, it is possible to select the optimal sensor placement that would lead to the smallest uncertainties during the ARMAv identification process. Two numerical examples are provided to demonstrate the methodology and compare the sensor placement results upon various measures.
Kockelman, Kara M.
DYNAMIC RIDE-SHARING AND OPTIMAL FLEET SIZING FOR A SYSTEM OF1 SHARED AUTONOMOUS VEHICLES2 3 4 and for publication in Transportation21 22 23 ABSTRACT24 25 Shared autonomous (fully-automated) vehicles (SAVs, destinations and departure times in the same vehicle), optimizing fleet sizing, and32 anticipating
Modelling and simulation of multidisciplinary dynamic systems Lead: A. Fakri.
Baudoin, Genevi├©ve
Modelling and simulation of multidisciplinary dynamic systems Lead: A. Fakri. Permanent members: P. Integration of various engineering disciplines and the consideration of the dynamic control need a concurrent suited for the energy exchanges to study multidisciplinary dynamic engineering systems modelling. Our
ONGOING RESEARCH PROJECTS Model of tropical forest structure and dynamics
Hill, Jeffrey E.
ONGOING RESEARCH PROJECTS Model of tropical forest structure and dynamics There is a need canopy structure and partitions dynamic rates for a tropical forest on Barro Colorado Island (BCI structure and partitions dynamic rates in a tropical forest. In Review. Journal of Ecology. #12;PPA model
Gradient Navigation Model for Pedestrian Dynamics
Felix Dietrich; Gerta K÷ster
We present a new microscopic ODE-based model for pedestrian dynamics: the Gradient Navigation Model. The model uses a superposition of gradients of distance functions to directly change the direction of the velocity vector. The velocity is then integrated to obtain the location. The approach differs fundamentally from force based models needing only three equations to derive the ODE system, as opposed to four in, e.g., the Social Force Model. Also, as a result, pedestrians are no longer subject to inertia. Several other advantages ensue: Model induced oscillations are avoided completely since no actual forces are present. The derivatives in the equations of motion are smooth and therefore allow the use of fast and accurate high order numerical integrators. At the same time, existence and uniqueness of the solution to the ODE system follow almost directly from the smoothness properties. In addition, we introduce a method to calibrate parameters by theoretical arguments based on empirically validated assumptions rather than by numerical tests. These parameters, combined with the accurate integration, yield simulation results with no collisions of pedestrians. Several empirically observed system phenomena emerge without the need to recalibrate the parameter set for each scenario: obstacle avoidance, lane formation, stop-and-go waves and congestion at bottlenecks. The density evolution in the latter is shown to be quantitatively close to controlled experiments. Likewise, we observe a dependence of the crowd velocity on the local density that compares well with benchmark fundamental diagrams.
866 IEEE TRANSACTIONS ON MAGNETICS, VOL. 44, NO. 6, JUNE 2008 Dynamical Models for Eddy Current in Ferromagnetic Cores Introduced in
Boyer, Edmond
866 IEEE TRANSACTIONS ON MAGNETICS, VOL. 44, NO. 6, JUNE 2008 Dynamical Models for Eddy Current accurate dynamical models for representing eddy currents are studied. The simulation of the relay is provided. Index Terms--AC circuit breakers (CBs), eddy currents, magnetic hysteresis, optimization methods
Unbounded dynamics in dissipative flows: R÷ssler model
Barrio, Roberto, E-mail: email@example.com; Serrano, Sergio, E-mail: email@example.com [Computational Dynamics Group, Dpto. Matemßtica Aplicada and IUMA, Universidad de Zaragoza, E-50009 Zaragoza (Spain)] [Computational Dynamics Group, Dpto. Matemßtica Aplicada and IUMA, Universidad de Zaragoza, E-50009 Zaragoza (Spain); Blesa, Fernando, E-mail: email@example.com [Computational Dynamics Group, Dpto. FĒsica Aplicada and IUMA, Universidad de Zaragoza, E-50009 Zaragoza (Spain)] [Computational Dynamics Group, Dpto. FĒsica Aplicada and IUMA, Universidad de Zaragoza, E-50009 Zaragoza (Spain)
Transient chaos and unbounded dynamics are two outstanding phenomena that dominate in chaotic systems with large regions of positive and negative divergences. Here, we investigate the mechanism that leads the unbounded dynamics to be the dominant behavior in a dissipative flow. We describe in detail the particular case of boundary crisis related to the generation of unbounded dynamics. The mechanism of the creation of this crisis in flows is related to the existence of an unstable focus-node (or a saddle-focus) equilibrium point and the crossing of a chaotic invariant set of the system with the weak-(un)stable manifold of the equilibrium point. This behavior is illustrated in the well-known R÷ssler model. The numerical analysis of the system combines different techniques as chaos indicators, the numerical computation of the bounded regions, and bifurcation analysis. For large values of the parameters, the system is studied by means of Fenichel's theory, providing formulas for computing the slow manifold which influences the evolution of the first stages of the orbit.
Dynamics of an Economics Model for Generation Coupled to the OPA Power Transmission Model
Dobson, Ian
Dynamics of an Economics Model for Generation Coupled to the OPA Power Transmission Model B. A a dynamic model of the power transmission system (OPA) and a simple economic model of power generation development. Despite the simplicity of this economic model, complex dynamics both in the economics (prices
on control of dynamical systems, linear and nonlinear least squares optimization, model-based estimation, and optimal control. We mostly restrict our study to linear, time-invariant control systems. Introductory optimiza- tion, optimal control, Kalman filters, Bayesian estimation. Prerequisites. Linear algebra
Linking Dynamical and Population Genetic Models of Persistent Viral Infection
Kelly, John K.; Williamson, Scott; Orive, Maria E.; Smith, Marilyn S.; Holt, Robert D.
This article develops a theoretical framework to link dynamical and population genetic models of persistent viral infection. This linkage is useful because, while the dynamical and population genetic theories have developed ...
Polymer Reaction Engineering Laboratory -University of Maryland at College Park Reactor Dynamics, Control, Optimization
Rubloff, Gary W.
, Control, Optimization Exothermic polymerization reactions in continuous flow reactors may cause complex reactors and model-based control of polymerization reactors using extended Kalman filter. 1. Analysis of a continuous stirred tank polymerization reactor (K.Y. Kim and K.Y. Choi), J. Process Control, 1(3), 96
Optimal control of CPR procedure using hemodynamic circulation model
Lenhart, Suzanne M. (Knoxville, TN); Protopopescu, Vladimir A. (Knoxville, TN); Jung, Eunok (Seoul, KR)
A method for determining a chest pressure profile for cardiopulmonary resuscitation (CPR) includes the steps of representing a hemodynamic circulation model based on a plurality of difference equations for a patient, applying an optimal control (OC) algorithm to the circulation model, and determining a chest pressure profile. The chest pressure profile defines a timing pattern of externally applied pressure to a chest of the patient to maximize blood flow through the patient. A CPR device includes a chest compressor, a controller communicably connected to the chest compressor, and a computer communicably connected to the controller. The computer determines the chest pressure profile by applying an OC algorithm to a hemodynamic circulation model based on the plurality of difference equations.
Toward a mechanistic modeling of nitrogen limitation on vegetation dynamics
Xu, Chonggang [Los Alamos National Laboratory (LANL); Fisher, Rosie [National Center for Atmospheric Research (NCAR); Wullschleger, Stan D [ORNL; Wilson, Cathy [Los Alamos National Laboratory (LANL); Cai, Michael [Los Alamos National Laboratory (LANL); McDowell, Nathan [Los Alamos National Laboratory (LANL)
Nitrogen is a dominant regulator of vegetation dynamics, net primary production, and terrestrial carbon cycles; however, most ecosystem models use a rather simplistic relationship between leaf nitrogen content and photosynthetic capacity. Such an approach does not consider how patterns of nitrogen allocation may change with differences in light intensity, growing-season temperature and CO{sub 2} concentration. To account for this known variability in nitrogen-photosynthesis relationships, we develop a mechanistic nitrogen allocation model based on a trade-off of nitrogen allocated between growth and storage, and an optimization of nitrogen allocated among light capture, electron transport, carboxylation, and respiration. The developed model is able to predict the acclimation of photosynthetic capacity to changes in CO{sub 2} concentration, temperature, and radiation when evaluated against published data of V{sub c,max} (maximum carboxylation rate) and J{sub max} (maximum electron transport rate). A sensitivity analysis of the model for herbaceous plants, deciduous and evergreen trees implies that elevated CO{sub 2} concentrations lead to lower allocation of nitrogen to carboxylation but higher allocation to storage. Higher growing-season temperatures cause lower allocation of nitrogen to carboxylation, due to higher nitrogen requirements for light capture pigments and for storage. Lower levels of radiation have a much stronger effect on allocation of nitrogen to carboxylation for herbaceous plants than for trees, resulting from higher nitrogen requirements for light capture for herbaceous plants. As far as we know, this is the first model of complete nitrogen allocation that simultaneously considers nitrogen allocation to light capture, electron transport, carboxylation, respiration and storage, and the responses of each to altered environmental conditions. We expect this model could potentially improve our confidence in simulations of carbon-nitrogen interactions and the vegetation feedbacks to climate in Earth system models.
Solid Oxide Fuel Cell: Perspective of Dynamic Modeling and Control
Huang, Biao
Solid Oxide Fuel Cell: Perspective of Dynamic Modeling and Control Biao Huang Yutong Qi Monjur: This paper presents a review of state-of-the-art solid oxide fuel cells (SOFC), from perspective of dynamic. Keywords: Solid Oxide Fuel Cell, Control Relevant Model, Model Predictive Control 1. INTRODUCTION Today
Dynamic Bayesian Networks model to estimate process availability.
Paris-Sud XI, Universitķ de
Dynamic Bayesian Networks model to estimate process availability. Weber P. Centre de Recherche en reported here explores a new methodology to develop Dynamic Bayesian Network-based Availability of the system availability estimation comparing DBN model with the classical Markov chain model. Keywords
Characteristics of identifying linear dynamic models from impulse response data using Prony analysis
Trudnowski, D.J.
The purpose of the study was to investigate the characteristics of fitting linear dynamic models to the impulse response of oscillatory dynamic systems using Prony analysis. Many dynamic systems exhibit oscillatory responses with multiple modes of oscillations. Although the underlying dynamics of such systems are often nonlinear, it is frequently possible and very useful to represent the system operating about some set point with a linear model. Derivation of such linear models can be done using two basic approaches: model the system using theoretical derivations and some linearization method such as a Taylor series expansion; or use a curve-fitting technique to optimally fit a linear model to specified system response data. Prony analysis belongs to the second class of system modeling because it is a method of fitting a linear model to the impulse response of a dynamic system. Its parallel formulation inherently makes it well suited for fitting models to oscillatory system data. Such oscillatory dynamic effects occur in large synchronous-generator-based power systems in the form of electromechanical oscillations. To study and characterize these oscillatory dynamics, BPA has developed computer codes to analyze system data using Prony analysis. The objective of this study was to develop a highly detailed understanding of the properties of using Prony analysis to fit models to systems with characteristics often encountered in power systems. This understanding was then extended to develop general ``rules-of-thumb`` for using Prony analysis. The general characteristics were investigated by performing fits to data from known linear models under controlled conditions. The conditions studied include various mathematical solution techniques; different parent system configurations; and a large variety of underlying noise characteristics.
Characteristics of identifying linear dynamic models from impulse response data using Prony analysis
Trudnowski, D.J.
The purpose of the study was to investigate the characteristics of fitting linear dynamic models to the impulse response of oscillatory dynamic systems using Prony analysis. Many dynamic systems exhibit oscillatory responses with multiple modes of oscillations. Although the underlying dynamics of such systems are often nonlinear, it is frequently possible and very useful to represent the system operating about some set point with a linear model. Derivation of such linear models can be done using two basic approaches: model the system using theoretical derivations and some linearization method such as a Taylor series expansion; or use a curve-fitting technique to optimally fit a linear model to specified system response data. Prony analysis belongs to the second class of system modeling because it is a method of fitting a linear model to the impulse response of a dynamic system. Its parallel formulation inherently makes it well suited for fitting models to oscillatory system data. Such oscillatory dynamic effects occur in large synchronous-generator-based power systems in the form of electromechanical oscillations. To study and characterize these oscillatory dynamics, BPA has developed computer codes to analyze system data using Prony analysis. The objective of this study was to develop a highly detailed understanding of the properties of using Prony analysis to fit models to systems with characteristics often encountered in power systems. This understanding was then extended to develop general rules-of-thumb'' for using Prony analysis. The general characteristics were investigated by performing fits to data from known linear models under controlled conditions. The conditions studied include various mathematical solution techniques; different parent system configurations; and a large variety of underlying noise characteristics.
Demonstration of Open Quantum System Optimal Control in Dynamic Nuclear Polarization
Sarah Sheldon; David G. Cory
Dynamic nuclear polarization (DNP) is used in nuclear magnetic resonance (NMR) to transfer polarization from electron spins to nuclear spins. The resulting nuclear polarization enhancement can, in theory, be two or three orders of magnitude depending on the sample. In solid state systems, however, there are competing mechanisms of DNP, which, when occurring simultaneously, reduce the net polarization enhancement of the nuclear spin. We present a simple quantum description of DNP and apply optimal control theory (OCT) with an open quantum system framework to design pulses that select one DNP process and suppress the others. We demonstrate experimentally an order of magnitude improvement in the DNP enhancement using OCT pulses.
Stochastic Dynamic Demand Inventory Models with Explicit Transportation Costs and DecisionsĀ
Zhang, Liqing
Peters August 2011 Major Subject: Industrial Engineering iii ABSTRACT Stochastic Dynamic Demand Inventory Models with Explicit Transportation Costs and Decisions. (August 2011) Liqing Zhang, B.S.; M.S., Tsinghua University, P.R. China Chair... An Illustration of (Q,~s, ~S) Policy ( m = ? s1n?Qn C ? + 1 ) . . . . . . . . 52 5 Optimal Policies for Special Case . . . . . . . . . . . . . . . . . . . . 71 6 Influence of Parameter K . . . . . . . . . . . . . . . . . . . . . . . . 74 7 Influence...
Implications of a Regime-Switching Model on Natural Gas Storage Valuation and Optimal Operation
Forsyth, Peter A.
Implications of a Regime-Switching Model on Natural Gas Storage Valuation and Optimal Operation-switching model for the risk adjusted natural gas spot price and study the implications of the model on the valuation and optimal operation of natural gas storage facilities. We calibrate the model parameters to both
Growth-optimal investments and numeraire portfolios under transaction costs: An analysis based on the von Neumann-Gale model
Bahsoun, Wael; Taksar, Michael I
The aim of this work is to extend the capital growth theory developed by Kelly, Breiman, Cover and others to asset market models with transaction costs. We define a natural generalization of the notion of a numeraire portfolio proposed by Long and show how such portfolios can be used for constructing growth-optimal investment strategies. The analysis is based on the classical von Neumann-Gale model of economic dynamics, a stochastic version of which we use as a framework for the modelling of financial markets with frictions.
The two faces of network dynamics Evolving network models describe the dynamics (assembly, evolution)
Albert, Rķka
with a random network with a given degree distribution P(k). Mark edges with probability T. DisregardThe two faces of network dynamics Evolving network models describe the dynamics (assembly, evolution) OF networks by the addition/removal of nodes and edges. It is possible to have network dynamics
A dynamic model for the Lagrangian stochastic dispersion coefficient
Pesmazoglou, I.; Navarro-Martinez, S., E-mail: firstname.lastname@example.com [Department of Mechanical Engineering, Imperial College, London SW7 2AZ (United Kingdom); Kempf, A. M. [Chair of Fluid Dynamics, Institute for Combustion and Gasdynamics and Center for Computational Sciences and Simulation, Universitõt Duisburg-Essen, Duisburg, 47048 (Germany)] [Chair of Fluid Dynamics, Institute for Combustion and Gasdynamics and Center for Computational Sciences and Simulation, Universitõt Duisburg-Essen, Duisburg, 47048 (Germany)
A stochastic sub-grid model is often used to accurately represent particle dispersion in turbulent flows using large eddy simulations. Models of this type have a free parameter, the dispersion coefficient, which is not universal and is strongly grid-dependent. In the present paper, a dynamic model for the evaluation of the coefficient is proposed and validated in decaying homogeneous isotropic turbulence. The grid dependence of the static coefficient is investigated in a turbulent mixing layer and compared to the dynamic model. The dynamic model accurately predicts dispersion statistics and resolves the grid-dependence. Dispersion statistics of the dynamically calculated constant are more accurate than any static coefficient choice for a number of grid spacings. Furthermore, the dynamic model produces less numerical artefacts than a static model and exhibits smaller sensitivity in the results predicted for different particle relaxation times.
Event-Based Approach to Modelling Dynamic Architecture
Paris-Sud XI, Universit├® de
Event-Based Approach to Modelling Dynamic Architecture: Application to Mobile Ad-Hoc firstname.lastname@example.com Abstract. We describe an event-based approach to specifiy systems with dynamically evolving architecture tools. Keywords: Specification, Verification, Dynamic Architecture, Event B. 1 Introduction Distributed
Stochastic modeling of lift and drag dynamics under turbulent conditions
Peinke, Joachim
measurement. The model is being developed with the aim to integrate it into a general wind energy converter dynamics, drag dynamics. 1 Introduction Wind energy converters (WECs) are permanently exposed to email@example.com in every second, which imposes different risks. The dynamical nature of the wind has a significant impact
Time consistency and risk averse dynamic decision models ...
sistent models as we provide practitioners with an intuitive economic inter- pretation for the ... ning and financial engineering problems. Based on ... consistency is shown to be one basic requirement to get suitable optimal de- cisions, inĀ...
Stochastic Modeling and Optimization for Energy Management in Multi-Core Systems
Tasiran, Serdar
1 Stochastic Modeling and Optimization for Energy Management in Multi-Core Systems: A Video and optimization framework which leads to effective energy management policies. At the heart of this framework lie to obtain optimal energy management policies. These policies minimize the average energy consumption using
Geometry optimization methods for modeling large molecules O don Farkasa,*, H. Bernhard Schlegelb
Schlegel, H. Bernhard
Geometry optimization methods for modeling large molecules O┬© do┬©n Farkasa,*, H. Bernhard Schlegelb, Wayne State University, Detroit, USA Abstract Geometry optimization is an essential part of quantum that there are different requirements for a chosen optimization method. The proposed method aims to meet two requirements
Optimization of the structural Gabor functions in a homogeneous velocity model
Cerveny, Vlastislav
Optimization of the structural Gabor functions in a homogeneous velocity model for a zero-o#11;set functions should be optimized, and the Gabor functions should form a frame. We present a simple attempt functions and the space{wavenumber lattice of their central points are optimized analytically
Optimal Control of Distributed Energy Resources using Model Predictive Control
Mayhorn, Ebony T.; Kalsi, Karanjit; Elizondo, Marcelo A.; Zhang, Wei; Lu, Shuai; Samaan, Nader A.; Butler-Purry, Karen
In an isolated power system (rural microgrid), Distributed Energy Resources (DERs) such as renewable energy resources (wind, solar), energy storage and demand response can be used to complement fossil fueled generators. The uncertainty and variability due to high penetration of wind makes reliable system operations and controls challenging. In this paper, an optimal control strategy is proposed to coordinate energy storage and diesel generators to maximize wind penetration while maintaining system economics and normal operation. The problem is formulated as a multi-objective optimization problem with the goals of minimizing fuel costs and changes in power output of diesel generators, minimizing costs associated with low battery life of energy storage and maintaining system frequency at the nominal operating value. Two control modes are considered for controlling the energy storage to compensate either net load variability or wind variability. Model predictive control (MPC) is used to solve the aforementioned problem and the performance is compared to an open-loop look-ahead dispatch problem. Simulation studies using high and low wind profiles, as well as, different MPC prediction horizons demonstrate the efficacy of the closed-loop MPC in compensating for uncertainties in wind and demand.
Factoring Gaussian Precision Matrices for Linear Dynamic ModelsĀ
Frankel, Joe; King, Simon
The linear dynamic model (LDM), also known as the Kalman filter model, has been the subject of research in the engineering, control, and more recently, machine learning and speech technology communities. The Gaussian noise processes are usually...
Abstract--A stochastic dynamic programming hydrothermal dispatch model to simulate a bid-based market is
Catholic University of Chile (Universidad Cat¾lica de Chile)
on dynamic programming that optimizes and validates the bid prices strategies for each power plant in a hydro several plants. Emphasis is given to hydro reservoir modeling and to the assessment of their market power market power is detected, focalized on main reservoir plants and implicating important increases
Optimization of Pacing Strategies for Cycling Time Trials Using a Smooth 6-Parameter Endurance Model
Deussen, Oliver
.1. The mechanical - -model As established by [1], the relationship between pedalling power (control variable time trials can be formulated as an optimal control problem, where a mechanical model review approaches that use the 3-parameter critical power model to compute optimal pacing strategies
Stochastic Modeling and Optimization for Robust Power Management in a Partially Observable System
Qiu, Qinru
Stochastic Modeling and Optimization for Robust Power Management in a Partially Observable System and issues control commands periodically. Reference [3] models the similar system using the continuous a full observation of the entire system status. In this paper, we propose a new modeling and optimization
20.18 Optimization Problems in Air Pollution Modeling Ivan Dimov, and Zahari Zlatev
Dimov, Ivan
20.18 Optimization Problems in Air Pollution Modeling Ivan Dimov, and Zahari Zlatev ABSTRACT. The appearance of optimization problems in the field of air pollution modeling and their importance arising in air pollution modeling will be considered. We shall present a review of some approaches
Applying the Battery Ownership Model in Pursuit of Optimal Battery Use Strategies (Presentation)
Neubauer, J.; Ahmad, P.; Brooker, A.; Wood, E.; Smith, K.; Johnson, C.; Mendelsohn, M.
This Annual Merit Review presentation describes the application of the Battery Ownership Model for strategies for optimal battery use in electric drive vehicles (PEVs, PHEVs, and BEVs).
Static and Dynamic Debugging of Modelica Models Adrian Pop1
Zhao, Yuxiao
Static and Dynamic Debugging of Modelica Models Adrian Pop1 , Martin Sj÷lund1 , Adeel email@example.com Abstract The high abstraction level of equation-based object- oriented languages (EOO) such as Modelica has and dynamic debugging methods for Modelica models and a debugger prototype that addresses several of those
A New Motorcycle Simulator Platform: Mechatronics Design, Dynamics Modeling
Paris-Sud XI, Universitķ de
A New Motorcycle Simulator Platform: Mechatronics Design, Dynamics Modeling and Control L. Nehaoua and dynamics modeling will be presented. Some results are shown, validating the actutation requirements and platform control. 1. INTRODUCTION Road safety has become a major political and economical issue. While all
A Qualitative Simulation Approach for Fuzzy Dynamical Models
Bontempi, Gianluca
.g., a nuclear power plant in unexpected emergency situations) or because if does not yet exist (eA Qualitative Simulation Approach for Fuzzy Dynamical Models ANDREA BONARINI and GIANLUCA BONTEMPI Politecnico di Milano This article deal with simulation of approximate models of dynamic systems. We propose
Computational Modeling of Brain Dynamics during Repetitive Head Motions
Burtscher, Martin
Computational Modeling of Brain Dynamics during Repetitive Head Motions Igor Szczyrba School the HIC scale to arbitrary head motions. Our simulations of the brain dynamics in sagittal and horizontal injury modeling, resonance effects 1 Introduction A rapid head motion can result in a severe brain injury
A Dynamic Model of Social Network Formation Brian Skyrms 1
Pemantle, Robin
A Dynamic Model of Social Network Formation Brian Skyrms 1 Robin Pemantle 2;3 ABSTRACT: We consider a dynamic social network model in which agents play repeated games in pairings determined by a stochastically evolving social network. In- dividual agents begin to interact at random, with the interactions
MODELLING THE ONSET OF DYNAMIC Importance of the Vertical Dimension
Johansen, Tom Henning
Łblock models of an elastic slider under dry friction. I apply AmontonsŁCoulomb friction at the block levelMODELLING THE ONSET OF DYNAMIC FRICTION Importance of the Vertical Dimension by JžRGEN TRžMBORG of the onset of dynamic friction. Optical methods give access to the sliding interface before and during
Optimization of a high-efficiency jet ejector by computational fluid dynamic software
Watanawanavet, Somsak
Computational Fluid Dynamics (CFD) software. A conventional finite-volume scheme was utilized to solve two-dimensional transport equations with the standard k-?? turbulence model (Kim et. al., 1999). In this study of a constant-area jet ejector, all parameters...
Dynamic Modeling and Recipe Optimization of Polyether Polyol Processes
Grossmann, Ignacio E.
Epoxides (ethylene oxide (EO), propylene oxide (PO)) OO OO Molecules containing active hydrogen atoms: PnO- K+ + PmOH ke - PnOH + PmO- K+ O- K+ OH OO O O O OH O Material Starter Propylene glycol (PG- K+ OH OO O O O OH O O O- K+ H Material Starter Propylene glycol (PG) Water Catalyst KOH Monomer PO
Dynamic Modeling and Recipe Optimization of Polyether Polyol Processes
Grossmann, Ignacio E.
Polyether polyol process description Key ingredients Epoxides (ethylene oxide (EO), propylene oxide (PO)) OO Polyether polyol process description Key ingredients Epoxides (ethylene oxide (EO), propylene oxide (PO)) OO, m 0) Gn + Rm ke ---- ke Dn + Qm (n, m 0) Material Starter Propylene glycol (PG) Water Catalyst KOH
Security Optimization of Dynamic Networks with Probabilistic Graph Modeling
Yao, Danfeng "Daphne'
analysis tools. A network administrator needs to identify vulnerable configurations, as well as tools placement problem, where the network administrator needs to compute on which machine(s) to install new, and services added to or removed from the network. Network administrators also need to respond to newly
Dynamic cone beam CT angiography of carotid and cerebral arteries using canine model
Cai Weixing; Zhao Binghui; Conover, David; Liu Jiangkun; Ning Ruola [Department of Imaging Sciences, University of Rochester, 601 Elmwood Avenue, Rochester, New York 14642 (United States); Department of Radiology, Shanghai 6th People's Hospital, 600 Yishan Road, Xuhui, Shanghai (China); Koning Corporation, Lennox Tech Enterprise Center, 150 Lucius Gordon Drive Suite 112, West Henrietta, New York 14586 (United States); Department of Imaging Sciences, University of Rochester, 601 Elmwood Avenue, Rochester, New York 14642 (United States); Department of Imaging Sciences, University of Rochester, 601 Elmwood Avenue, Rochester, New York 14642 (United States) and Koning Corporation, Lennox Tech Enterprise Center, 150 Lucius Gordon Drive Suite 112, West Henrietta, New York 14586 (United States)
Purpose: This research is designed to develop and evaluate a flat-panel detector-based dynamic cone beam CT system for dynamic angiography imaging, which is able to provide both dynamic functional information and dynamic anatomic information from one multirevolution cone beam CT scan. Methods: A dynamic cone beam CT scan acquired projections over four revolutions within a time window of 40 s after contrast agent injection through a femoral vein to cover the entire wash-in and wash-out phases. A dynamic cone beam CT reconstruction algorithm was utilized and a novel recovery method was developed to correct the time-enhancement curve of contrast flow. From the same data set, both projection-based subtraction and reconstruction-based subtraction approaches were utilized and compared to remove the background tissues and visualize the 3D vascular structure to provide the dynamic anatomic information. Results: Through computer simulations, the new recovery algorithm for dynamic time-enhancement curves was optimized and showed excellent accuracy to recover the actual contrast flow. Canine model experiments also indicated that the recovered time-enhancement curves from dynamic cone beam CT imaging agreed well with that of an IV-digital subtraction angiography (DSA) study. The dynamic vascular structures reconstructed using both projection-based subtraction and reconstruction-based subtraction were almost identical as the differences between them were comparable to the background noise level. At the enhancement peak, all the major carotid and cerebral arteries and the Circle of Willis could be clearly observed. Conclusions: The proposed dynamic cone beam CT approach can accurately recover the actual contrast flow, and dynamic anatomic imaging can be obtained with high isotropic 3D resolution. This approach is promising for diagnosis and treatment planning of vascular diseases and strokes.
Computational Fluid Dynamics (CFD) Modeling for High Rate Pulverized Coal Injection (PCI) into the Blast Furnace
Dr. Chenn Zhou
Pulverized coal injection (PCI) into the blast furnace (BF) has been recognized as an effective way to decrease the coke and total energy consumption along with minimization of environmental impacts. However, increasing the amount of coal injected into the BF is currently limited by the lack of knowledge of some issues related to the process. It is therefore important to understand the complex physical and chemical phenomena in the PCI process. Due to the difficulty in attaining trus BF measurements, Computational fluid dynamics (CFD) modeling has been identified as a useful technology to provide such knowledge. CFD simulation is powerful for providing detailed information on flow properties and performing parametric studies for process design and optimization. In this project, comprehensive 3-D CFD models have been developed to simulate the PCI process under actual furnace conditions. These models provide raceway size and flow property distributions. The results have provided guidance for optimizing the PCI process.
Discretized Maximum Likelihood and Almost Optimal Adaptive Control of Ergodic Markov Models
Duncan, T. E.; Pasik-Duncan, Bozenna J.; Stettner, L.
processes, almost optimal adaptive control AMS subject classi#12;cations. 93E35, 93C40, 60J05, 62M05 PII. S0363012996298369 1. Introduction. In many control problems the models are not completely de- scribed and there are perturbations or unmodeled dynamics....s., so by (64), (93) I1((v^n; n 2 N)) #20; lim sup n!1 1 n n?1 X i=0 Z E c(z; uiN (z))#25; #11;0 uiN (dz) + " a.s. For ! 2 ? n N it follows from (93) that (94) I1((v^n; n 2 N)) #20; lim sup n!1 1 n n?1 X i=0 1F (#22;#14;)(#11;^iN ) Z E c(z; uiN (z))#25...
Multi-model Simulation for Optimal Control of Aeroacoustics.
Collis, Samuel Scott; Chen, Guoquan
Flow-generated noise, especially rotorcraft noise has been a serious concern for bothcommercial and military applications. A particular important noise source for rotor-craft is Blade-Vortex-Interaction (BVI)noise, a high amplitude, impulsive sound thatoften dominates other rotorcraft noise sources. Usually BVI noise is caused by theunsteady flow changes around various rotor blades due to interactions with vorticespreviously shed by the blades. A promising approach for reducing the BVI noise isto use on-blade controls, such as suction/blowing, micro-flaps/jets, and smart struc-tures. Because the design and implementation of such experiments to evaluate suchsystems are very expensive, efficient computational tools coupled with optimal con-trol systems are required to explore the relevant physics and evaluate the feasibilityof using various micro-fluidic devices before committing to hardware.In this thesis the research is to formulate and implement efficient computationaltools for the development and study of optimal control and design strategies for com-plex flow and acoustic systems with emphasis on rotorcraft applications, especiallyBVI noise control problem. The main purpose of aeroacoustic computations is todetermine the sound intensity and directivity far away from the noise source. How-ever, the computational cost of using a high-fidelity flow-physics model across thefull domain is usually prohibitive and itmight also be less accurate because of thenumerical diffusion and other problems. Taking advantage of the multi-physics andmulti-scale structure of this aeroacoustic problem, we develop a multi-model, multi-domain (near-field/far-field) method based on a discontinuous Galerkin discretiza-tion. In this approach the coupling of multi-domains and multi-models is achievedby weakly enforcing continuity of normal fluxes across a coupling surface. For ourinterested aeroacoustics control problem, the adjoint equations that determine thesensitivity of the cost functional to changes in control are also solved with same ap-proach by weakly enforcing continuity ofnormal fluxes across a coupling surface.Such formulations have been validated extensively for several aeroacoustics state andcontrol problems.A multi-model based optimal control framework has been constructed and ap-plied to our interested BVI noise control problem. This model problem consists ofthe interaction of a compressible vortex with Bell AH-1 rotor blade with wall-normal3 velocity used as control on the rotor blade surface. The computational domain isdecomposed into the near-field and far-field. The near-field is obtained by numericalsolution of the Navier-Stokes equations while far away from the noise source, wherethe effect of nonlinearities is negligible, the linearized Euler equations are used tomodel the acoustic wave propagation. The BVI wave packet is targeted by definingan objective function that measures the square amplitude of pressure fluctuations inan observation region, at a time interval encompassing the dominant leading edgecompressibility waves. Our control results show that a 12dB reduction in the ob-servation region is obtained. Interestingly, the control mechanism focuses on theobservation region and only minimize the sound level in that region at the expense ofother regions. The vortex strength and trajectory get barely changed. However, theoptimal control does alter the interaction of the vortical and potential fields, whichis the source of BVI noise. While this results in a slight increase in drag, there is asignificant reduction in the temporal gradient of lift leading to a reduction in BVIsound levels.4
Dynamic Modeling of Cascading Failure in Power Systems
Song, Jiajia; Ghanavati, Goodarz; Hines, Paul D H
The modeling of cascading failure in power systems is difficult because of the many different mechanisms involved; no single model captures all of these mechanisms. Understanding the relative importance of these different mechanisms is an important step in choosing which mechanisms need to be modeled for particular types of cascading failure analysis. This work presents a dynamic simulation model of both power networks and protection systems, which can simulate a wider variety of cascading outage mechanisms, relative to existing quasi-steady state (QSS) models. The model allows one to test the impact of different load models and protections on cascading outage sizes. This paper describes each module of the developed dynamic model and demonstrates how different mechanisms interact. In order to test the model we simulated a batch of randomly selected $N-2$ contingencies for several different static load configurations, and found that the distribution of blackout sizes and event lengths from the proposed dynamic...
Dynamic Modeling in Solid-Oxide Fuel Cells Controller Design
Lu, Ning; Li, Qinghe; Sun, Xin; Khaleel, Mohammad A.
In this paper, a dynamic model of the solid-oxide fuel cell (SOFC) power unit is developed for the purpose of designing a controller to regulate fuel flow rate, fuel temperature, air flow rate, and air temperature to maintain the SOFC stack temperature, fuel utilization rate, and voltage within operation limits. A lumped model is used to consider the thermal dynamics and the electro-chemial dynamics inside an SOFC power unit. The fluid dynamics at the fuel and air inlets are considered by using the in-flow ramp-rates.
Optimal trade execution and absence of price manipulations in limit order book models
Paris-Sud XI, Universitķ de
Optimal trade execution and absence of price manipulations in limit order book models Aur and optimal trade execution strategies in a model for an electronic limit order book with nonlinear price function of the limit order book, placing deterministic trade sizes at trading dates that are homogeneously
Optimal Nonmyopic Value of Information in Graphical Models Efficient Algorithms and Theoretical Limits
Optimal Nonmyopic Value of Information in Graphical Models ┬Ł Efficient Algorithms and Theoretical, we present the first efficient optimal algorithms for selecting observations for a class of graphical: In most graphical models tasks, if one designs an efficient algorithm for chain graphs, such as HMMs
Optimal Nonmyopic Value of Information in Graphical Models --Efficient Algorithms and Theoretical Limits
Optimal Nonmyopic Value of Information in Graphical Models -- Efficient Algorithms and Theoretical, we present the first efficient optimal algorithms for selecting observations for a class of graphical: In most graphical models tasks, if one designs an efficient algorithm for chain graphs, such as HMMs
Parameter optimization for the Gaussian model of protein foldingq Albert Erkipa
Seok, Chaok
of protein folding and ligand docking are large and complex. Few systematic methods have yet been developed apply this parameter optimization method to the recently developed Gaussian model of protein folding Science Ltd. All rights reserved. Keywords: Gaussian model; Protein folding; Parameter optimization 1
MODEL AND OPTIMIZATION OF ORGANIC PHOTOVOLTAIC CELLS Amelia McNamara
MODEL AND OPTIMIZATION OF ORGANIC PHOTOVOLTAIC CELLS By Amelia McNamara Jordan Seering and Yi Zeng: 612/626-7370 URL: http://www.ima.umn.edu #12;Model and Optimization of Organic Photovoltaic Cells the organic photovoltaic cell, an important topic in the energy industry which has not been well studied. We
Using the NOABL flow model and mathematical optimization as a micrositing tool
Wegley, H.L.; Barnard, J.C.
This report describes the use of an improved mass-consistent model that is intended for diagnosing wind fields in complex terrain. The model was developed by merging an existing mass-consistent model, the NOABL model, with an optimization procedure. The optimization allows objective calculation of important model input parameters that previously had been supplied through guesswork; in this manner, the accuracy of the calculated winds has been greatly increased. The report covers such topics as the software structure of the model, assembling an input file, processing the model's output, and certain cautions about the model's operation. The use of the model is illustrated by a test case.
Hybrid Genetic Optimization and Statistical Model-Based Approach for the Classification
Mignotte, Max
Hybrid Genetic Optimization and Statistical Model-Based Approach for the Classification of Shadow original statistical classification method using a deformable template model separate natural objects man template, along admissible linear transformations, to take account shape variability. classification
Annealing contour Monte Carlo algorithm for structure optimization in an off-lattice protein model
Liang, Faming
. For example, the HP model1 treats each amino acid as a point particle and restricts the model to fold of the energy landscape, so it is an excellent tool for Monte Carlo optimization. The ACMC algorithm is an accel
Reliability-yield allocation for semiconductor integrated circuits: modeling and optimization
Ha, Chunghun
This research develops yield and reliability models for fault-tolerant semiconductor integrated circuits and develops optimization algorithms that can be directly applied to these models. Since defects cause failures in microelectronics systems...
Generic solar photovoltaic system dynamic simulation model specification.
Ellis, Abraham; Behnke, Michael Robert; Elliott, Ryan Thomas
This document is intended to serve as a specification for generic solar photovoltaic (PV) system positive-sequence dynamic models to be implemented by software developers and approved by the WECC MVWG for use in bulk system dynamic simulations in accordance with NERC MOD standards. Two specific dynamic models are included in the scope of this document. The first, a Central Station PV System model, is intended to capture the most important dynamic characteristics of large scale (> 10 MW) PV systems with a central Point of Interconnection (POI) at the transmission level. The second, a Distributed PV System model, is intended to represent an aggregation of smaller, distribution-connected systems that comprise a portion of a composite load that might be modeled at a transmission load bus.
Dynamics, Optimization and Control of a Fuel Cell Based Combined Heat Power (CHP) System for Shipboard Applications
Stefanopoulou, Anna
Dynamics, Optimization and Control of a Fuel Cell Based Combined Heat Power (CHP) System, a natural gas fuel processor system (FPS), a proton exchange membrane fuel cell (PEM-FC) and a catalytic) systems based on fuel cells and fuel processing technologies have great potential for future shipboard
Embedded Online Optimization for Model Predictive Control at ...
optimization-based control systems on low cost embedded platforms. ..... Modern computing platforms must allow for a wide range of applications that operate on.
An Improved Stochastic Optimization Model for Water Supply ...
Hydrology 387(1-2):141¢150. Ikonen E, Selek I, Bene J (2012) Optimization of pumping schedules using the genealogical decision tree approach. Chemical.
Gas Network Optimization: A comparison of Piecewise Linear Models
Gas network optimization manages the gas transport by minimizing operating costs and .... This problem represents the transportation process of natural gas. 79.
REGULAR ARTICLE A Simple Dynamic Model of Respiratory Pump
Fontecave-Jallon, Julie
). Mathematical models are used to understand these interactions and the mechanics of respiratory system better) and introduce some dynamic properties of the respiratory system. The passive elements (rib cage and abdomen not take into account the dynamic component of the system, it appears valid for different respiratory
Modeling and Management of Nonlinear Dependencies Copulas in Dynamic Financial
Ulm, Universitõt
an important tool for decision making and an essential part of enterprise risk management (ERM), particularly. Keywords: Non-Life Insurance, Risk Management, Dynamic Financial Analysis, Co- pulas, PerformanceModeling and Management of Nonlinear Dependencies Ł Copulas in Dynamic Financial Analysis Martin
UNEDITED PREPRINT Building a dynamic growth model for trembling
GarcĒa, Oscar
UNEDITED PREPRINT Building a dynamic growth model for trembling aspen in Western Canada without age for even-aged thinned or unthinned stands dominated by trembling aspen. Estimation used permanent sample words: Forest growth and yield, Populus tremuloides, quacking aspen, thinning, dynamical systems, TAG. 1
Dynamic wind turbine models in power system simulation tool
Dynamic wind turbine models in power system simulation tool DIgSILENT Anca D. Hansen, Florin Iov Iov, Poul S├Ėrensen, Nicolaos Cutululis, Clemens Jauch, Frede Blaabjerg Title: Dynamic wind turbine system simulation tool PowerFactory DIgSILENT for different wind turbine concepts. It is the second
Optimal SCR Control Using Data-Driven Models
Stevens, Andrew J.; Sun, Yannan; Lian, Jianming; Devarakonda, Maruthi N.; Parker, Gordon
We present an optimal control solution for the urea injection for a heavy-duty diesel (HDD) selective catalytic reduction (SCR). The approach taken here is useful beyond SCR and could be applied to any system where a control strategy is desired and input-output data is available. For example, the strategy could also be used for the diesel oxidation catalyst (DOC) system. In this paper, we identify and validate a one-step ahead Kalman state-space estimator for downstream NOx using the bench reactor data of an SCR core sample. The test data was acquired using a 2010 Cummins 6.7L ISB production engine with a 2010 Cummins production aftertreatment system. We used a surrogate HDD federal test procedure (FTP), developed at Michigan Technological University (MTU), which simulates the representative transients of the standard FTP cycle, but has less engine speed/load points. The identified state-space model is then used to develop a tunable cost function that simultaneously minimizes NOx emissions and urea usage. The cost function is quadratic and univariate, thus the minimum can be computed analytically. We show the performance of the closed-loop controller in using a reduced-order discrete SCR simulator developed at MTU. Our experiments with the surrogate HDD-FTP data show that the strategy developed in this paper can be used to identify performance bounds for urea dose controllers.
Continuously Optimized Reliable Energy (CORE) Microgrid: Models & Tools (Fact Sheet)
Not Available
This brochure describes Continuously Optimized Reliable Energy (CORE), a trademarked process NREL employs to produce conceptual microgrid designs. This systems-based process enables designs to be optimized for economic value, energy surety, and sustainability. Capabilities NREL offers in support of microgrid design are explained.
Symbolic Dynamics in a Matching Labour Market Model
Diana A. Mendes; Vivaldo M. Mendes; J. Sousa Ramos
In this paper we apply the techniques of symbolic dynamics to the analysis of a labor market which shows large volatility in employment flows. In a recent paper, Bhattacharya and Bunzel \\cite{BB} have found that the discrete time version of the Pissarides-Mortensen matching model can easily lead to chaotic dynamics under standard sets of parameter values. To conclude about the existence of chaotic dynamics in the numerical examples presented in the paper, the Li-Yorke theorem or the Mitra sufficient condition were applied which seems questionable because they may lead to misleading conclusions. Moreover, in a more recent version of the paper, Bhattacharya and Bunzel \\cite{BB1} present new results in which chaos is completely removed from the dynamics of the model. Our paper explores the matching model so interestingly developed by the authors with the following objectives in mind: (i) to show that chaotic dynamics may still be present in the model for standard parameter values; (ii) to clarify some open questions raised by the authors in \\cite{BB}, by providing a rigorous proof of the existence of chaotic dynamics in the model through the computation of topological entropy in a symbolic dynamics setting.
Forest and Agricultural Sector Optimization Model (FASOM): Model structure and policy applications. Forest Service research paper
Adams, D.M.; Alig, R.J.; Callaway, J.M.; McCarl, B.A.; Winnett, S.M.
The Forest and Agricultural Sector Opimization Model (FASOM) is a dynamic, nonlinear programming model of the forest and agricultural sectors in the United States. The FASOM model initially was developed to evaluate welfare and market impacts of alternative policies for sequestering carbon in trees but also has been applied to a wider range of forest and agricultural sector policy scenarios. The authors describe the model structure and give selected examples of policy applications. A summary of the data sources, input data file format, and the methods used to develop the input data files also are provided.
2.003 Modeling Dynamics and Control I, Spring 2002
Trumper, David L.
First of two-term sequence on modeling, analysis and control of dynamic systems. Mechanical translation, uniaxial rotation, electrical circuits and their coupling via levers, gears and electro-mechanical devices. Analytical ...
Human Growth and Body Weight Dynamics: An Integrative Systems Model
Rahmandad, Hazhir
Quantifying human weight and height dynamics due to growth, aging, and energy balance can inform clinical practice and policy analysis. This paper presents the first mechanism-based model spanning full individual life and ...
Molecular Dynamics Modeling of Ionic Liquids in Electrospray Propulsion
. Lozano June 2010 SSL # 6-10 #12;#12;Molecular Dynamics Modeling of Ionic Liquids in Electrospray Propulsion Nanako Takahashi, Paulo C. Lozano June 2010 SSL # 6-10 This work is based on the unaltered text
Modeling and control of undesirable dynamics in atomic force microscopes
El Rifai, Osamah M
The phenomenal resolution and versatility of the atomic force microscope (AFM), has made it a widely-used instrument in nanotechnology. In this thesis, a detailed model of AFM dynamics has been developed. It includes a new ...
Models of dynamic RNA regulation in mammalian cells
Rabani, Michal
Complex molecular circuits, consisting of multiple intertwined feedback loops and non-linear interactions, are a hallmark of every living cell, and a model of a dynamic complex network. Here, I systematically study the ...
Dynamic Modelling and Control Design of Pre-combustion Power
Foss, Bjarne A.
- pressors, gas and steam turbines and a heat recovery system. Analysis of dynamic models at an early stage principles. The pre- combustion gas power cycle plants consist of reformers and separation units, com
Applications of axial and radial compressor dynamic system modeling
Spakovszky, Zoltßn S. (Zoltßn Sßndor), 1972-
The presented work is a compilation of four different projects related to axial and centrifugal compression systems. The projects are related by the underlying dynamic system modeling approach that is common in all of them. ...
Model reduction for nonlinear dynamical systems with parametric uncertainties
Zhou, Yuxiang Beckett
Nonlinear dynamical systems are known to be sensitive to input parameters. In this thesis, we apply model order reduction to an important class of such systems -- one which exhibits limit cycle oscillations (LCOs) and ...
COMPUTATIONAL FLUID DYNAMICS MODELING OF SOLID OXIDE FUEL CELLS Ugur Pasaogullari and Chao-dimensional model has been developed to simulate solid oxide fuel cells (SOFC). The model fully couples current density operation. INTRODUCTION Solid oxide fuel cells (SOFC) are among possible candidates
Modeling exchange rate dependence dynamics at different time horizons
Embrechts, Paul
, Copula-GARCH, Conditional dependence, Dynamic copula Corresponding author. Tel.: +44(0) 247 657 4297. Financial time-series are often modeled with GARCH type models. In the multivariate GARCH literature there exist several models, like CCC- GARCH, DVEC, matrix-diagonal GARCH, BEKK and principal components GARCH
RESEARCH ARTICLE Modelling multi-species response to landscape dynamics
Kleyer, Michael
and to the spatio-temporal configuration of urban brownfield habitats in a multi-species approach (37 plant and 43- sion time of brownfield habitats required to support all and especially regionally rare species Dynamic landscape Á Species distribution model Á Habitat model Á Urban brownfields Á Model averaging Á
A Diffusion Model in Population Genetics with Mutation and Dynamic
O'Leary, Michael
A Diffusion Model in Population Genetics with Mutation and Dynamic Fitness Mike O'Leary Department of Mathematics Towson University May 24, 2008 Mike O'Leary (Towson University) A Diffusion Model in Genetics May Miller, Georgetown University Mike O'Leary (Towson University) A Diffusion Model in Genetics May 24, 2008
Developing Generic Dynamic Models for the 2030 Eastern Interconnection Grid
Kou, Gefei [ORNL; Hadley, Stanton W [ORNL; Markham, Penn N [ORNL; Liu, Yilu [ORNL
The Eastern Interconnection Planning Collaborative (EIPC) has built three major power flow cases for the 2030 Eastern Interconnection (EI) based on various levels of energy/environmental policy conditions, technology advances, and load growth. Using the power flow cases, this report documents the process of developing the generic 2030 dynamic models using typical dynamic parameters. The constructed model was validated indirectly using the synchronized phasor measurements by removing the wind generation temporarily.
Dynamic reactor modeling with applications to SPR and ZEDNA.
Suo-Anttila, Ahti Jorma
A dynamic reactor model has been developed for pulse-type reactor applications. The model predicts reactor power, axial and radial fuel expansion, prompt and delayed neutron population, and prompt and delayed gamma population. All model predictions are made as a function of time. The model includes the reactivity effect of fuel expansion on a dynamic timescale as a feedback mechanism for reactor power. All inputs to the model are calculated from first principles, either directly by solving systems of equations, or indirectly from Monte Carlo N-Particle Transport Code (MCNP) derived results. The model does not include any empirical parameters that can be adjusted to match experimental data. Comparisons of model predictions to actual Sandia Pulse Reactor SPR-III pulses show very good agreement for a full range of pulse magnitudes. The model is also applied to Z-pinch externally driven neutron assembly (ZEDNA) type reactor designs to model both normal and off-normal ZEDNA operations.
Mesoscale modeling of phase transition dynamics of thermoresponsive polymers
Li, Zhen; Li, Xuejin; Karniadakis, George Em
We present a non-isothermal mesoscopic model for investigation of the phase transition dynamics of thermoresponsive polymers. Since this model conserves energy in the simulations, it is able to correctly capture not only the transient behavior of polymer precipitation from solvent, but also the energy variation associated with the phase transition process. Simulations provide dynamic details of the thermally induced phase transition and confirm two different mechanisms dominating the phase transition dynamics. A shift of endothermic peak with concentration is observed and the underlying mechanism is explored.
ERCOT's Dynamic Model of Wind Turbine Generators: Preprint
Muljadi, E.; Butterfield, C. P.; Conto, J.; Donoho, K.
By the end of 2003, the total installed wind farm capacity in the Electric Reliability Council of Texas (ERCOT) system was approximately 1 gigawatt (GW) and the total in the United States was about 5 GW. As the number of wind turbines installed throughout the United States increases, there is a greater need for dynamic wind turbine generator models that can properly model entire power systems for different types of analysis. This paper describes the ERCOT dynamic models and simulations of a simple network with different types of wind turbine models currently available.
Human Muscle Fatigue Model in Dynamic Motions
Boyer, Edmond
into account. In this paper, each human joint is assumed to be controlled by two muscle groups to generate on motor units pattern. They demonstrated the relationship among muscle activation, fatigue and recovery fatigue trend in static working posture (elbow = 90 , shoulder = 30 ), but in dynamic working situation
Modeling and Optimization of a Bioethanol Production FacilityĀ
Gabriel, Kerron Jude
is also designed to incorporate various biomass feedstocks as well as realistic maximum equipment sizing thereby ensuring pragmatism of the work. For this study, the criterion for optimization is minimum ethanol price. The secondary and more...
Model-Based Hierarchical Optimal Control Design for HVAC Systems
Maasoumy, Mehdi; Pinto, Alessandro; Sangiovanni-Vincentelli, Alberto
trol algorithm design for hvac systems in energy efficientH.R. Sualem. Building and HVAC System simulation with theOPTIMAL CONTROL DESIGN FOR HVAC SYSTEMS Mehdi Maasoumy,
Kinetic modeling and automated optimization in microreactor systems
Moore, Jason Stuart
The optimization, kinetic investigation, or scale-up of a reaction often requires significant time and materials. Silicon microreactor systems have been shown advantageous for studying chemical reactions due to their small ...
Oneida Tribe of Indians of Wisconsin Energy Optimization Model
Troge, Michael [Project Manager
Oneida Nation is located in Northeast Wisconsin. The reservation is approximately 96 square miles (8 miles x 12 miles), or 65,000 acres. The greater Green Bay area is east and adjacent to the reservation. A county line roughly splits the reservation in half; the west half is in Outagamie County and the east half is in Brown County. Land use is predominantly agriculture on the west 2/3 and suburban on the east 1/3 of the reservation. Nearly 5,000 tribally enrolled members live in the reservation with a total population of about 21,000. Tribal ownership is scattered across the reservation and is about 23,000 acres. Currently, the Oneida Tribe of Indians of Wisconsin (OTIW) community members and facilities receive the vast majority of electrical and natural gas services from two of the largest investor-owned utilities in the state, WE Energies and Wisconsin Public Service. All urban and suburban buildings have access to natural gas. About 15% of the population and five Tribal facilities are in rural locations and therefore use propane as a primary heating fuel. Wood and oil are also used as primary or supplemental heat sources for a small percent of the population. Very few renewable energy systems, used to generate electricity and heat, have been installed on the Oneida Reservation. This project was an effort to develop a reasonable renewable energy portfolio that will help Oneida to provide a leadership role in developing a clean energy economy. The Energy Optimization Model (EOM) is an exploration of energy opportunities available to the Tribe and it is intended to provide a decision framework to allow the Tribe to make the wisest choices in energy investment with an organizational desire to establish a renewable portfolio standard (RPS).
Cogeneration System Size Optimization Constant Capacity and Constant Demand Models
Wong-Kcomt, J. B.; Turner, W. C.
proposed to select a combined heat and power (CHP) or cogeneration system and to evaluate its optimal size. Here, "optimal" size means the nominal system size (in kW ) that minimizes the total e equivalent annual cost (TEAC) to own, operate... ratio (HPR l ). Thus, Canton et.al (2) have developed a graphical method to visualize different operating scenarios. Hay (3) and the AGA Manual (I) consider the following operation modes for a plant with variable CHP loads. Each operation mode...
A closed-loop quasi-optimal dynamic braking resistor and shunt reactor control strategy for transient stability
Rahim, A.H.M.A.; Alamgir, D.A.H.
A control strategy for dynamic braking resistor and shunt reactor is proposed for stabilization of power systems when subject to large disturbances. The time optimal control is derived as a function of synchronous machine power, its rotor angular position and speed deviation. The response for a single machine system with the proposed control has been compared with that from the time optimal solution obtained through the steepest descent method. The strategy has also been tested on two multimachine systems. Results indicate that the proposed strategy provides a simple and effective method of stabilization under transient emergency conditions.
Non-linear Langevin model for the early-stage dynamics of electrospinning jets
Lauricella, Marco; Pisignano, Dario; Succi, Sauro
We present a non-linear Langevin model to investigate the early-stage dynamics of electrified polymer jets in electrospinning experiments. In particular, we study the effects of air drag force on the uniaxial elongation of the charged jet, right after ejection from the nozzle. Numerical simulations show that the elongation of the jet filament close to the injection point is significantly affected by the non-linear drag exerted by the surrounding air. These result provide useful insights for the optimal design of current and future electrospinning experiments.
Sensitivity Analysis of Optimal Operation of an Activated Sludge Process Model for Economic Controlled Variable Selection
Skogestad, Sigurd
Sensitivity Analysis of Optimal Operation of an Activated Sludge Process Model for Economic operation conducted on an activated sludge process model based on the test-bed benchmark simulation model no. 1 (BSM1) and the activated sludge model no. 1 (ASM1). The objective is to search for a control
Modeling Zero Energy Building: technical and economical optimization Maria Ferrara1-2
Paris-Sud XI, Universitķ de
1 Modeling Zero Energy Building: technical and economical optimization Maria Ferrara1-2 , Joseph by the recast of Energy Performance of Buildings. The aim of this work is to provide a useful method to deal combines the use of TRNSYS, building energy simulation program, with GenOpt, Generic Optimization program
Structure formation: Models, Dynamics and Status
T. Padmanabhan
The constraints on the models for the structure formation arising from various cosmological observations at different length scales are reviewed. The status of different models for structure formation is examined critically in the light of these observations.
A Dynamic Model with Import Quota Constraints
Basak, Suleyman
The analysis of import quotas is predominantly based on a static model, which is unable to capture the fact that a quota is imposed over a period of time. This article develops a continuous-time model ...
Computational fluid dynamics modeling of coal gasification in a pressurized spout-fluid bed
Zhongyi Deng; Rui Xiao; Baosheng Jin; He Huang; Laihong Shen; Qilei Song; Qianjun Li [Southeast University, Nanjing (China). Key Laboratory of Clean Coal Power Generation and Combustion Technology of Ministry of Education
Computational fluid dynamics (CFD) modeling, which has recently proven to be an effective means of analysis and optimization of energy-conversion processes, has been extended to coal gasification in this paper. A 3D mathematical model has been developed to simulate the coal gasification process in a pressurized spout-fluid bed. This CFD model is composed of gas-solid hydrodynamics, coal pyrolysis, char gasification, and gas phase reaction submodels. The rates of heterogeneous reactions are determined by combining Arrhenius rate and diffusion rate. The homogeneous reactions of gas phase can be treated as secondary reactions. A comparison of the calculated and experimental data shows that most gasification performance parameters can be predicted accurately. This good agreement indicates that CFD modeling can be used for complex fluidized beds coal gasification processes. 37 refs., 7 figs., 5 tabs.
Using Evolution Strategy with Meta-models for Well Placement Optimization
Bouzarkouna, Zyed; Auger, Anne
Optimum implementation of non-conventional wells allows us to increase considerably hydrocarbon recovery. By considering the high drilling cost and the potential improvement in well productivity, well placement decision is an important issue in field development. Considering complex reservoir geology and high reservoir heterogeneities, stochastic optimization methods are the most suitable approaches for optimum well placement. This paper proposes an optimization methodology to determine optimal well location and trajectory based upon the Covariance Matrix Adaptation - Evolution Strategy (CMA-ES) which is a variant of Evolution Strategies recognized as one of the most powerful derivative-free optimizers for continuous optimization. To improve the optimization procedure, two new techniques are investigated: (1). Adaptive penalization with rejection is developed to handle well placement constraints. (2). A meta-model, based on locally weighted regression, is incorporated into CMA-ES using an approximate ranking ...
Assessing the reliability of linear dynamic transformer thermal modelling
Assessing the reliability of linear dynamic transformer thermal modelling X. Mao, D.J. Tylavsky and G.A. McCulla Abstract: Improving the utilisation of transformers requires that the hot-spot and top. An alternative method for assessing transformer model reliability is provided. 1 Introduction The maximally
Long-wave models of thin film fluid dynamics
A. J. Roberts
Centre manifold techniques are used to derive rationally a description of the dynamics of thin films of fluid. The derived model is based on the free-surface $\\eta(x,t)$ and the vertically averaged horizontal velocity $\\avu(x,t)$. The approach appears to converge well and has significant differences from conventional depth-averaged models.
Modeling Lake Erie ice dynamics: Process studies , Haoguo Hu2
Modeling Lake Erie ice dynamics: Process studies Jia Wang1 , Haoguo Hu2 , and Xuezhi Bai2 1 NOAA of Michigan 4840 S. State Road, Ann Arbor, MI 48108 Abstract. A Great Lakes Ice-circulation Model (GLIM derived from meteorological measurements. After the seasonal cycles of ice concentration, thickness
Title of dissertation: MODELING, SIMULATING, AND CONTROLLING THE FLUID DYNAMICS
Shapiro, Benjamin
ABSTRACT Title of dissertation: MODELING, SIMULATING, AND CONTROLLING THE FLUID DYNAMICS OF ELECTRO an algorithm to steer indi- vidual particles inside the EWOD system by control of actuators already present number of actuators available in the EWOD system. #12;MODELING, SIMULATING, AND CONTROLLING THE FLUID
Controlling Social Dynamics with a Parametrized Model of Floor Regulation
Das, Suman
Controlling Social Dynamics with a Parametrized Model of Floor Regulation Crystal Chao, Andrea L is to build autonomous robot controllers for successfully engaging in human-like turn-taking interactions. Towards this end, we present CADENCE, a novel computational model and architecture that explicitly reasons
Model Reduction Near Periodic Orbits of Hybrid Dynamical Systems
Sastry, S. Shankar
manipulation in manufacturing [2], gene regulation in cells [3], and power generation in electrical systems [41 Model Reduction Near Periodic Orbits of Hybrid Dynamical Systems Samuel A. Burden, Shai Revzen system. We demonstrate reduction of a high┬Łdimensional underactuated mechanical model for terrestrial
Numerical Modeling of Brain Dynamics in Traumatic Situations -Impulsive Translations
Burtscher, Martin
.S.A. Abstract We numerically model the brain dy- namics during and after impulsive head translations using brain injuries appear among boxers and shaken babies despite minimal rotations of their heads. Modeling head translations also helps understand the brain dynamics during head rotations about an arbitrary
Numerically Estimating Internal Models of Dynamic Virtual Objects
Sekuler, Robert
human subjects to manipulate a computer-animated virtual object. This virtual object (vO) was a high, human cognition, human information processing, ideal performer, internal model, virtual object, virtual, specifically how humans acquire an internal model of a dynamic virtual object. Our methodology minimizes
Thermodiffusion in model nanofluids by molecular dynamics simulations
Paris-Sud XI, Universitķ de
1 Thermodiffusion in model nanofluids by molecular dynamics simulations G. Galliero1,2,* , S. Volz3-Jones fluids and for model nanofluids (spherical non-metallic nanoparticles + Lennard-Jones fluid) where concentration. Then, in nanofluids in the liquid state, by changing the nature of the nanoparticle (size, mass
Passive dynamic walking with knees : a point foot model
Hsu Chen, Vanessa F. (Vanessa Fang)
In this thesis, a hybrid model for a passive 2D walker with knees and point feet is presented. The step cycle of the model has two phases of continuous dynamics: one with an unlocked knee configuration and a second one ...
Variational Inference in Stochastic Dynamic Environmental Models Dan Cornford1
Roulstone, Ian
Variational Inference in Stochastic Dynamic Environmental Models Dan Cornford1 , Manfred Opper2 number of degrees of freedom. Environmental forecasting centres have taken strategic decisions to develop on related phenomena, such as flooding and storm damage, and on the spread of pollutants. The models needed
Modeling and simulation of consumer response to dynamic pricing.
Valenzuela, J.; Thimmapuram, P.; Kim, J (Decision and Information Sciences); (Auburn Univ.)
Assessing the impacts of dynamic-pricing under the smart grid concept is becoming extremely important for deciding its full deployment. In this paper, we develop a model that represents the response of consumers to dynamic pricing. In the model, consumers use forecasted day-ahead prices to shift daily energy consumption from hours when the price is expected to be high to hours when the price is expected to be low while maintaining the total energy consumption as unchanged. We integrate the consumer response model into the Electricity Market Complex Adaptive System (EMCAS). EMCAS is an agent-based model that simulates restructured electricity markets. We explore the impacts of dynamic-pricing on price spikes, peak demand, consumer energy bills, power supplier profits, and congestion costs. A simulation of an 11-node test network that includes eight generation companies and five aggregated consumers is performed for a period of 1 month. In addition, we simulate the Korean power system.
Limits of control for quantum systems: kinematical bounds on the optimization of observables and the question of dynamical realizability
S. G. Schirmer; J. V. Leahy
In this paper we investigate the limits of control for mixed-state quantum systems. The constraint of unitary evolution for non-dissipative quantum systems imposes kinematical bounds on the optimization of arbitrary observables. We summarize our previous results on kinematical bounds and show that these bounds are dynamically realizable for completely controllable systems. Moreover, we establish improved bounds for certain partially controllable systems. Finally, the question of dynamical realizability of the bounds for arbitary partially controllable systems is shown to depend on the accessible sets of the associated control system on the unitary group U(N) and the results of a few control computations are discussed briefly.
Modeling Space-Time Dynamics of Aerosols Using Satellite Data and Atmospheric Transport Model Output
Shi, Tao
Modeling Space-Time Dynamics of Aerosols Using Satellite Data and Atmospheric Transport Model of aerosol optical depth across mainland Southeast Asia. We include a cross validation study to assess
Modeling, Optimization and Testing for Analog/Mixed-Signal Circuits in Deeply Scaled CMOS Technologies
Yu, Guo
the circuits are robust and optimized with consideration of parametric variations. This research presents innovative computer-aided design approaches to address three such problems: (1) large analog/mixed-signal performance modeling under process variations, (2...
Emissions and Energy: An Integral Approach Using an Online Energy Management and Optimization Model
Ruiz, D.; Ruiz, C.; Santollani, O.; Reitmeier, T.
examples and results corresponding to the application of such systems to refineries will be discussed. In addition, the integration of CO2 emission costs and constraints into the online energy system models and their optimization is also explained....
Optimization of a Chilled Water Plant Using a Forward Plant Model
Zhang, Z.; Turner, W. D.; Chen, Q.; Xu, C.; Deng, S.
This paper introduces a forward chilled water plant model to optimize the setpoints of continuous controlled variables in a chiller plant without storage and controlled by supervisory control. It can also be used to estimate the savings potential...
Efficient Nonlinear Optimization with Rigorous Models for Large Scale Industrial Chemical Processes
Zhu, Yu
uncertainty with rigorous models. For optimal operation, this dissertation takes cryogenic air separation units as a primary case study and focuses on formulations for handling uncertain product demands, contractual constraints on customer satisfaction levels...
Design optimization and analysis of coated particle fuel using advanced fuel performance modeling techniques
Soontrapa, Chaiyod
Modifying material properties provides another approach to optimize coated particle fuel used in pebble bed reactors. In this study, the MIT fuel performance model (TIMCOAT) was applied after benchmarking against the ...
Wind turbine control systems: Dynamic model development using system identification and the fast structural dynamics code
Stuart, J.G.; Wright, A.D.; Butterfield, C.P.
Mitigating the effects of damaging wind turbine loads and responses extends the lifetime of the turbine and, consequently, reduces the associated Cost of Energy (COE). Active control of aerodynamic devices is one option for achieving wind turbine load mitigation. Generally speaking, control system design and analysis requires a reasonable dynamic model of {open_quotes}plant,{close_quotes} (i.e., the system being controlled). This paper extends the wind turbine aileron control research, previously conducted at the National Wind Technology Center (NWTC), by presenting a more detailed development of the wind turbine dynamic model. In prior research, active aileron control designs were implemented in an existing wind turbine structural dynamics code, FAST (Fatigue, Aerodynamics, Structures, and Turbulence). In this paper, the FAST code is used, in conjunction with system identification, to generate a wind turbine dynamic model for use in active aileron control system design. The FAST code is described and an overview of the system identification technique is presented. An aileron control case study is used to demonstrate this modeling technique. The results of the case study are then used to propose ideas for generalizing this technique for creating dynamic models for other wind turbine control applications.
Spatially Heterogeneous Dynamics and Dynamic Facilitation in a Model of Viscous Silica Michael Vogel* and Sharon C. Glotzer
Weeks, Eric R.
this behavior. The mode coupling theory [1] describes many aspects of dynamical behavior at high T- stood as a simple activated bondbreaking process. Here, we perform molecular dynamics (MD) simula- tionsSpatially Heterogeneous Dynamics and Dynamic Facilitation in a Model of Viscous Silica Michael
Friction in a Model of Hamiltonian Dynamics
Juerg Froehlich; Zhou Gang; Avy Soffer
We study the motion of a heavy tracer particle weakly coupled to a dense ideal Bose gas exhibiting Bose-Einstein condensation. In the so-called mean-field limit, the dynamics of this system approaches one determined by nonlinear Hamiltonian evolution equations describing a process of emission of Cerenkov radiation of sound waves into the Bose-Einstein condensate along the particle's trajectory. The emission of Cerenkov radiation results in a friction force with memory acting on the tracer particle and causing it to decelerate until it comes to rest.
Pe'er, Asaf [Harvard-Smithsonian Center for Astrophysics, MS-51, 60 Garden Street, Cambridge, MA 02138 (United States)
Expanding blast waves are ubiquitous in many astronomical sources, such as supernova remnants, X-ray emitting binaries, and gamma-ray bursts. I consider here the dynamics of such an expanding blast wave, both in the adiabatic and the radiative regimes. As the blast wave collects material from its surroundings, it decelerates. A full description of the temporal evolution of the blast wave requires consideration of both the energy density and the pressure of the shocked material. The obtained equation is different from earlier works in which only the energy was considered. The solution converges to the familiar results in both the ultrarelativistic and the sub-relativistic (Newtonian) regimes.
Thermodynamic modeling and optimization of a screw compressor chiller and cooling tower system
Graves, Rhett David
THERMODYNAMIC MODELING AND OPTIMIZATION OF A SCREW COMPRESSOR CHILLER AND COOLING TOWER SYSTEM A Thesis by RHETT DAVID GRAVES Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements... for the degree of MASTER OF SCIENCE December 2003 Major Subject: Mechanical Engineering THERMODYNAMIC MODELING AND OPTIMIZATION OF A SCREW COMPRESSOR CHILLER AND COOLING TOWER SYSTEM A Thesis by RHETT DAVID GRAVES Submitted to Texas A&M University in partial...
Oracle-Based Optimization Applied to Climate Model Calibration
Beltran-Royo, Cesar
and earth system modelling since even so-called intermediate complexity models, such as the one used
Nanoscale SRAM Variability and Optimization
Toh, Seng Oon
Dynamic Read Stability 5 Stochastic Optimization of SRAM 5.15.2 Bitcell Optimization . . . . . . . . .5.2.1 GlobalTechnology . . Optimization . . . . . . Read and Write
AM 121: Intro to Optimization Models and Methods
Chen, Yiling
s and dual surplus var's Ę If there is slack in the primal resource constraint, then dual ( shadow price ) should be zero Ę If the shadow price is non-zero, then there must be scarce resources (no slack in primal: Complementary Slackness Lesson Plan Ę Complementary slackness Ę A compatibility requirement between an optimal
Modeling, Optimization and Economic Evaluation of Residual Biomass Gasification
Georgeson, Adam
. .............................................................................. 7 Table 2. Components Used in Simulation. ...................................................................... 20 Table 3. Composition of Biomass Feedstock to Biorefinery. ......................................... 43 Table 4. Operating... for optimizing gasification plant design from an economic perspective. Specifically, the problem addressed in this work is stated as follows: Given are: ? A set of biomass feedstocks {i|i = 1,2,?,I } which includes fresh as well as residue biomass ? A set...
A Markov model of land use dynamics
Campillo, Fabien; Raherinirina, Angelo; Rakotozafy, Rivo
The application of the Markov chain to modeling agricultural succession is well known. In most cases, the main problem is the inference of the model, i.e. the estimation of the transition matrix. In this work we present methods to estimate the transition matrix from historical observations. In addition to the estimator of maximum likelihood (MLE), we also consider the Bayes estimator associated with the Jeffreys prior. This Bayes estimator will be approximated by a Markov chain Monte Carlo (MCMC) method. We also propose a method based on the sojourn time to test the adequation of Markov chain model to the dataset.
Logic-based Modeling and Solution of Nonlinear Discrete/Continuous Optimization Problems
Grossmann, Ignacio E.
1 Logic-based Modeling and Solution of Nonlinear Discrete/Continuous Optimization Problems Sangbum the authors have extensively investigated over the last few years. Solution strategies for GDP models. We first present a brief review of MILP and MINLP for the case when these problems are modeled
A dynamic model of industrial energy demand in Kenya
Haji, S.H.H. [Gothenburg Univ. (Sweden)
This paper analyses the effects of input price movements, technology changes, capacity utilization and dynamic mechanisms on energy demand structures in the Kenyan industry. This is done with the help of a variant of the second generation dynamic factor demand (econometric) model. This interrelated disequilibrium dynamic input demand econometric model is based on a long-term cost function representing production function possibilities and takes into account the asymmetry between variable inputs (electricity, other-fuels and Tabour) and quasi-fixed input (capital) by imposing restrictions on the adjustment process. Variations in capacity utilization and slow substitution process invoked by the relative input price movement justifies the nature of input demand disequilibrium. The model is estimated on two ISIS digit Kenyan industry time series data (1961 - 1988) using the Iterative Zellner generalized least square method. 31 refs., 8 tabs.
Modeling Infection with Multi-agent Dynamics
Dong, Wen
Developing the ability to comprehensively study infections in small populations enables us to improve epidemic models and better advise individuals about potential risks to their health. We currently have a limited ...
Modeling of Alpine Atmospheric Dynamics II
Gohm, Alexander
: mesoscale convective system 17-18 April 2004: Sierra hydraulic jump case 21 January 2005: the "Universiade) Results and discussion (synoptic scale overview, mesoscale structure, comparison of model and measurements
Generative modeling of dynamic visual scenes
Lin, Dahua, Ph. D. Massachusetts Institute of Technology
Modeling visual scenes is one of the fundamental tasks of computer vision. Whereas tremendous efforts have been devoted to video analysis in past decades, most prior work focuses on specific tasks, leading to dedicated ...
Modeling emotion dynamics in intelligent agents
Seif El-Nasr, Magy
OF SIMULATION AND RESULTS . . . . . . . . . . . D. CONTRIBUTIONS 7. STRUCTURE OF THE THESIS 1 3 4 7 9 13 13 15 18 18 19 11 PREVIOUS WORK . . 20 1. PSYCHOLOGICAL MODELS . A. MOTIVATIONAL STATES . B. APPRAISAL MODELS OF EMOTIONS... all the needs and urges, while the mind is the heart of the rational thinking process [9]. After three centuries, new theories of emotions were established. By 1884, William James [15] published his article "What is Emotion?" At that time...
Capacity analysis, cycle time optimization, and supply chain strategy in multi-product biopharmaceutical manufacturing operations
Fetcho-Phillips, Kacey L. (Kacey Lynn)
Application of system optimization theory, supply chain principles, and capacity modeling are increasingly valuable tools for use in pharmaceutical manufacturing facilities. The dynamics of the pharmaceutical industry - ...
Optimal Control of Building HVAC Systems in the Presence of Imperfect Predictions
Maasoumy, Mehdi; Sangiovanni-Vincentelli, Alberto
minimization of building hvac systems using model predictivealgorithm design for hvac systems in energy efficient build-optimal control design for HVAC systems,ö in Dynamic System
Title: Optimal Replacement in the Proportional Hazards Model with semi-Markovian Covariate Process and Continuous Monitoring
Ryan, Sarah M.
1 Title: Optimal Replacement in the Proportional Hazards Model with semi-Markovian Covariate Process and Continuous Monitoring Index terms--Optimal replacement, proportional hazards model, semi-Markov process, threshold replacement policy, sensitivity analysis SUMMARY This paper deals with the optimal
Optimal control of drug delivery to brain tumors for a PDE driven model using the Galerkin finite element method
Hanson, Floyd B.
Optimal control of drug delivery to brain tumors for a PDE driven model using the Galerkin finite is used to examine the optimal drug delivery to brain tumors. The PDE driven mathematical model and the drug concentration. An optimal control problem is formulated keeping in mind the primary goals
Optimization of the GB/SA Solvation Model for Predicting the Structure of Surface Loops in Proteins
Meirovitch, Hagai
Optimization of the GB/SA Solvation Model for Predicting the Structure of Surface Loops in ProteinsVed: October 10, 2005; In Final Form: December 1, 2005 Implicit solvation models are commonly optimized the force field is sometimes not considered. In previous studies, we have developed an optimization
Concurrent Optimization of Consumer's Electrical Energy Bill and Producer's Power Generation Cost under a Dynamic Pricing
Pedram, Massoud
grid technologies. This is a particularly interesting problem with the use of dynamic energy pricing method to solve this problem is dynamic energy pricing [2]-[10]. Dynamic changes in energy prices provide the customers' peak-hour demands. So, dynamic energy pricing can benefit both the consumer and the producer
Global parameter optimization of Mather type plasma focus in the framework of the Gratton-Vargas two-dimensional snowplow model
Auluck, S K H
Dense Plasma Focus (DPF) is known to produce highly energetic ions, electrons and plasma environment which can be used for breeding of short-lived isotopes, plasma nanotechnology and other material processing applications. Commercial utilization of DPF in such areas would need a design tool which can be deployed in an automatic search for the best possible device configuration for a given application. The recently revisited [S K H Auluck, Physics of Plasmas 20, 112501 (2013)] Gratton-Vargas (GV) two-dimensional analytical snowplow model of plasma focus provides a numerical formula for dynamic inductance of a Mather type plasma focus fitted to thousands of automated computations, which enables construction of such design tool. This inductance formula is utilized in the present work to explore global optimization, based on first-principles optimality criteria, in a 4-dimensional parameter-subspace of the zero-resistance GV model. The optimization process is shown to reproduce the empirically observed constancy ...
Modeling the influence of polls on elections: a population dynamics approach
Hyman, James M [Los Alamos National Laboratory; Restrepo, Juan M [UNIV OF ARIZONA; Rael, Rosalyn C [UNIV OF ARIZONA
We propose a population dynamics model for quantifying the effects of polling data on the outcome of multi-party elections decided by a majority-rule voting process. We divide the population into two groups: committed voters impervious to polling data, and susceptible voters whose decision to vote is influenced by data, depending on its reliability. This population-based approach to modeling the process sidesteps the problem of upscaling models based upon the choices made by individuals. We find releasing poll data is not advantageous to leading candidates, but it can be exploited by those closely trailing. The analysis identifies the particular type of voting impetus at play in different stages of an election and could help strategists optimize their influence on susceptible voters.
Models of Receptive Field Dynamics in Visual Cortex
The position, size, and shape of the receptive field (RF) of some cortical neurons change dynamically, in response to artificial scotoma conditioning (Pettet & Gilbert, 1992) and to retinal lesions (Chino et al., 1992; Darian-Smith & Gilbert, 1995) in adult animals. The RF dynamics are of interest because they show how visual systems may adaptively overcome damage (from lesions, scotomas, or other failures), may enhance processing efficiency by altering RF coverage in response to visual demand, and may perform perceptual learning. This paper presents an afferent excitatory synaptic plasticity rule and a lateral inhibitory synaptic plasticity rule -- the EXIN rules (Marshall, 1995a) -- to model persistent RF changes after artificial scotoma conditioning and retinal lesions. The EXIN model is compared to the LISSOM model (Sirosh et al., 1996) and to a neuronal adaptation model (Xing & Gerstein, 1994). The rules within each model are isolated and are analyzed independently, to elucidate t...
CSAW: a dynamical model of protein folding
Kerson Huang
CSAW (conditioned self-avoiding walk) is a model of protein folding that combines SAW (self-avoiding walk) with Monte-Carlo. It simulates the Brownian motion of a chain molecule in the presence of interactions, both among chain residues, and with the environment. In a first model that includes the hydrophobic effect and hydrogen bonding, a chain of 30 residues folds into a native state with stable secondary and tertiary structures. The process starts with a rapid collapse into an intermediate "molten globule", which slowly decays into the native state afer a relatively long quiescent period. The behavior of the radius of gyration mimics experimental data.
Model-based simultaneous optimization of multiple design parameters for lithium-ion batteries for maximization of energy density
Subramanian, Venkat
of energy density. optimization of design parameters. such as implantable cardiovascular defibrillators (ICDs) to high power/high energy applications such as hybrid carsModel-based simultaneous optimization of multiple design parameters for lithium-ion batteries
Optimization Online - A Non-Parametric Structural Hybrid Modeling ...
Somayeh Moazeni
Jun 30, 2014 ... A Non-Parametric Structural Hybrid Modeling Approach for Electricity Prices ... Keywords: Electricity market; Electricity price modeling; EnergyĀ...
Empirical Performance Model-Driven Data Layout Optimization and Library Call Selection for Tensor Contraction Expressions
Lu, Qingda; Gao, Xiaoyang; Krishnamoorthy, Sriram; Baumgartner, Gerald; Ramanujam, J.; Sadayappan, Ponnuswamy
Empirical optimizers like ATLAS have been very effective in optimizing computational kernels in libraries. The best choice of parameters such as tile size and degree of loop unrolling is determined by executing different versions of the computation. In contrast, optimizing compilers use a model-driven approach to program transformation. While the model-driven approach of optimizing compilers is generally orders of magnitude faster than ATLAS-like library generators, its effectiveness can be limited by the accuracy of the performance models used. In this paper, we describe an approach where a class of computations is modeled in terms of constituent operations that are empirically measured, thereby allowing modeling of the overall execution time. The performance model with empirically determined cost components is used to perform data layout optimization together with the selection of library calls and layout transformations in the context of the Tensor Contraction Engine, a compiler for a high-level domain-specific language for expressing computational models in quantum chemistry. The effectiveness of the approach is demonstrated through experimental measurements on representative computations from quantum chemistry.
Mathematical Modeling for CostMathematical Modeling for Cost Optimization of PV RecyclingOptimization of PV Recycling
Fthenakis National Photovoltaics Environmental Research CenterNational Photovoltaics Environmental Research service costs (labor, contract fees) Transportation costs (fuel cost, mpg, truck size) Maximum capacity) System optimal cost ($K) >586 563 - 586 360 - 563 216 - 360 178 - 216 56 -178 R16 586 1529 2115 R13+R15
UNCORRECTEDPROOF Parameter identification in dynamical models of
Timmer, Jens
only biogas production rate was 14 measured which complicates the analysis considerably. We show product is methane. In recent years more and more complex mathematical models of anaerobic 26 digestion. Yet in many ex- 36 perimental settings only biogas production rate data is available which complicates
Optimized shooting method for finding periodic orbits of nonlinear dynamical systems
W. Dednam; A. E. Botha
An alternative numerical method is developed to find stable and unstable periodic orbits of nonlinear dynamical systems. The method exploits the high-efficiency of the Levenberg-Marquardt algorithm for medium-sized problems and has the additional advantage of being relatively simple to implement. It is also applicable to both autonomous and non-autonomous systems. As an example of its use, it is employed to find periodic orbits in the R\\"ossler system, a coupled R\\"ossler system, as well as an eight-dimensional model of a flexible rotor-bearing; problems which have been treated previously via two related methods. The results agree with the previous methods and are seen to be more accurate in some cases. A simple implementation of the method, written in the Python programming language, is provided as an Appendix.
Green Algae as Model Organisms for Biological Fluid Dynamics
Goldstein, Raymond E
In the past decade the volvocine green algae, spanning from the unicellular $Chlamydomonas$ to multicellular $Volvox$, have emerged as model organisms for a number of problems in biological fluid dynamics. These include flagellar propulsion, nutrient uptake by swimming organisms, hydrodynamic interactions mediated by walls, collective dynamics and transport within suspensions of microswimmers, the mechanism of phototaxis, and the stochastic dynamics of flagellar synchronization. Green algae are well suited to the study of such problems because of their range of sizes (from 10 $\\mu$m to several millimetres), their geometric regularity, the ease with which they can be cultured and the availability of many mutants that allow for connections between molecular details and organism-level behavior. This review summarizes these recent developments and highlights promising future directions in the study of biological fluid dynamics, especially in the context of evolutionary biology, that can take advantage of these re...
Green Algae as Model Organisms for Biological Fluid Dynamics
Raymond E. Goldstein
In the past decade the volvocine green algae, spanning from the unicellular $Chlamydomonas$ to multicellular $Volvox$, have emerged as model organisms for a number of problems in biological fluid dynamics. These include flagellar propulsion, nutrient uptake by swimming organisms, hydrodynamic interactions mediated by walls, collective dynamics and transport within suspensions of microswimmers, the mechanism of phototaxis, and the stochastic dynamics of flagellar synchronization. Green algae are well suited to the study of such problems because of their range of sizes (from 10 $\\mu$m to several millimetres), their geometric regularity, the ease with which they can be cultured and the availability of many mutants that allow for connections between molecular details and organism-level behavior. This review summarizes these recent developments and highlights promising future directions in the study of biological fluid dynamics, especially in the context of evolutionary biology, that can take advantage of these remarkable organisms.
Dynamic crack initiation toughness : experiments and peridynamic modeling.
Foster, John T.
This is a dissertation on research conducted studying the dynamic crack initiation toughness of a 4340 steel. Researchers have been conducting experimental testing of dynamic crack initiation toughness, K{sub Ic}, for many years, using many experimental techniques with vastly different trends in the results when reporting K{sub Ic} as a function of loading rate. The dissertation describes a novel experimental technique for measuring K{sub Ic} in metals using the Kolsky bar. The method borrows from improvements made in recent years in traditional Kolsky bar testing by using pulse shaping techniques to ensure a constant loading rate applied to the sample before crack initiation. Dynamic crack initiation measurements were reported on a 4340 steel at two different loading rates. The steel was shown to exhibit a rate dependence, with the recorded values of K{sub Ic} being much higher at the higher loading rate. Using the knowledge of this rate dependence as a motivation in attempting to model the fracture events, a viscoplastic constitutive model was implemented into a peridynamic computational mechanics code. Peridynamics is a newly developed theory in solid mechanics that replaces the classical partial differential equations of motion with integral-differential equations which do not require the existence of spatial derivatives in the displacement field. This allows for the straightforward modeling of unguided crack initiation and growth. To date, peridynamic implementations have used severely restricted constitutive models. This research represents the first implementation of a complex material model and its validation. After showing results comparing deformations to experimental Taylor anvil impact for the viscoplastic material model, a novel failure criterion is introduced to model the dynamic crack initiation toughness experiments. The failure model is based on an energy criterion and uses the K{sub Ic} values recorded experimentally as an input. The failure model is then validated against one class of problems showing good agreement with experimental results.
A Dynamical Model of Plasma Turbulence in the Solar Wind
Howes, G G
A dynamical approach, rather than the usual statistical approach, is taken to explore the physical mechanisms underlying the nonlinear transfer of energy, the damping of the turbulent fluctuations, and the development of coherent structures in kinetic plasma turbulence. It is argued that the linear and nonlinear dynamics of Alfven waves are responsible, at a very fundamental level, for some of the key qualitative features of plasma turbulence that distinguish it from hydrodynamic turbulence, including the anisotropic cascade of energy and the development of current sheets at small scales. The first dynamical model of kinetic turbulence in the weakly collisional solar wind plasma that combines self-consistently the physics of Alfven waves with the development of small-scale current sheets is presented and its physical implications are discussed. This model leads to a simplified perspective on the nature of turbulence in a weakly collisional plasma: the nonlinear interactions responsible for the turbulent casca...
Development of PUNDA (Parametric Universal Nonlinear Dynamics Approximator) Models for Self-Validating Knowledge-Guided Modelling of Nonlinear Processes in Particle Accelerators \\& Industry
Sayyar-Rodsari, Bijan; Schweiger, Carl; Hartman, Eric
The difficult problems being tackled in the accelerator community are those that are nonlinear, substantially unmodeled, and vary over time. Such problems are ideal candidates for model-based optimization and control if representative models of the problem can be developed that capture the necessary mathematical relations and remain valid throughout the operation region of the system, and through variations in system dynamics. The goal of this proposal is to develop the methodology and the algorithms for building high-fidelity mathematical representations of complex nonlinear systems via constrained training of combined first-principles and neural network models.
Model Independent Analysis of Beam Centroid Dynamics in Accelerators
Wang, Chun-xi
Fundamental issues in Beam-Position-Monitor (BPM)-based beam dynamics observations are studied in this dissertation. The major topic is the Model-Independent Analysis (MIA) of beam centroid dynamics. Conventional beam dynamics analysis requires a certain machine model, which itself of ten needs to be refined by beam measurements. Instead of using any particular machine model, MIA relies on a statistical analysis of the vast amount of BPM data that often can be collected non-invasively during normal machine operation. There are two major parts in MIA. One is noise reduction and degrees-of-freedom analysis using a singular value decomposition of a BPM-data matrix, which constitutes a principal component analysis of BPM data. The other is a physical base decomposition of the BPM-data matrix based on the time structure of pulse-by-pulse beam and/or machine parameters. The combination of these two methods allows one to break the resolution limit set by individual BPMs and observe beam dynamics at more accurate levels. A physical base decomposition is particularly useful for understanding various beam dynamics issues. MIA improves observation and analysis of beam dynamics and thus leads to better understanding and control of beams in both linacs and rings. The statistical nature of MIA makes it potentially useful in other fields. Another important topic discussed in this dissertation is the measurement of a nonlinear Poincare section (one-turn) map in circular accelerators. The beam dynamics in a ring is intrinsically nonlinear. In fact, nonlinearities are a major factor that limits stability and influences the dynamics of halos. The Poincare section map plays a basic role in characterizing and analyzing such a periodic nonlinear system. Although many kinds of nonlinear beam dynamics experiments have been conducted, no direct measurement of a nonlinear map has been reported for a ring in normal operation mode. This dissertation analyzes various issues concerning map measurements and shows that it is possible to measure the Poincare section map (in terms of Taylor series) of a circular accelerator to a surprisingly high order and accuracy based on present BPM technology. MIA can overcome the inherent limit of BPM resolution. Nonlinear map measurements will advance understanding of the beam dynamics of a ring.
Werth, D.; O'Steen, L.
We show that a simple evolutionary algorithm can optimize a set of mesoscale atmospheric model parameters with respect to agreement between the mesoscale simulation and a limited set of synthetic observations. This is illustrated using the Regional Atmospheric Modeling System (RAMS). A set of 23 RAMS parameters is optimized by minimizing a cost function based on the root mean square (rms) error between the RAMS simulation and synthetic data (observations derived from a separate RAMS simulation). We find that the optimization can be efficient with relatively modest computer resources, thus operational implementation is possible. The optimization efficiency, however, is found to depend strongly on the procedure used to perturb the 'child' parameters relative to their 'parents' within the evolutionary algorithm. In addition, the meteorological variables included in the rms error and their weighting are found to be an important factor with respect to finding the global optimum.
Wind Energy Applications of Unified and Dynamic Turbulence Models
Heinz, Stefan
Wind Energy Applications of Unified and Dynamic Turbulence Models Stefan Heinz and Harish Gopalan applicable as a low cost alternative. 1 Introduction There is a growing interest in using wind energy suggests the possibility of providing 20% of the electricity in the U.S. by wind energy in 2030
Paris-Sud XI, Universit├® de
(thermal, gas, diesel) and renewable (hydro, wind) power units. The objective is to assess the impact - that have a special dynamic behaviour, and the wind turbines. Detailed models for each one of the power system components are developed. Emphasis is given in the representation of different hydro power plant
Non-perturbative Dynamical Decoupling Control: A Spin Chain Model
Zhao-Ming Wang; Lian-Ao Wu; Jun Jing; Bin Shao; Ting Yu
This paper considers a spin chain model by numerically solving the exact model to explore the non-perturbative dynamical decoupling regime, where an important issue arises recently (J. Jing, L.-A. Wu, J. Q. You and T. Yu, arXiv:1202.5056.). Our study has revealed a few universal features of non-perturbative dynamical control irrespective of the types of environments and system-environment couplings. We have shown that, for the spin chain model, there is a threshold and a large pulse parameter region where the effective dynamical control can be implemented, in contrast to the perturbative decoupling schemes where the permissible parameters are represented by a point or converge to a very small subset in the large parameter region admitted by our non-perturbative approach. An important implication of the non-perturbative approach is its flexibility in implementing the dynamical control scheme in a experimental setup. Our findings have exhibited several interesting features of the non-perturbative regimes such as the chain-size independence, pulse strength upper-bound, noncontinuous valid parameter regions, etc. Furthermore, we find that our non-perturbative scheme is robust against randomness in model fabrication and time-dependent random noise.
Multiscale modeling of polystyrene dynamics in different environments
Faller, Roland
Multiscale modeling of polystyrene dynamics in different environments Qi Sun1 , Florence Pon1 simulations can address not only the average properties of the system but also the distribution over any component in their neighborhood and vice versa. The simulation temperature of 450 K is chosen to be above
Approximate Dynamic Programming for Networks: Fluid Models and Constraint Reduction
Veatch, Michael H.
of approximating functions for the differential cost. The first contribution of this paper is identifying new or piece-wise quadratic. Fluid cost has been used to initialize the value iteration algorithm [5Approximate Dynamic Programming for Networks: Fluid Models and Constraint Reduction Michael H
Model-Driven Dynamic Control of Embedded Wireless Sensor Networks
Agarwal, Pankaj K.
Model-Driven Dynamic Control of Embedded Wireless Sensor Networks Paul G. Flikkema1 , Pankaj K-generation wireless sensor networks may revolution- ize understanding of environmental change by assimilating heteroge of wireless sensor networks is now becoming a mature research field. As a result, the discipline is undergoing
Dynamical Analysis of the Fitzhugh-Nagumo Model
Beer, Randall D.
Dynamical Analysis of the Fitzhugh-Nagumo Model #12;IU/COGS-Q580/Beer This isYour Brain #12;IU/COGS-Q580/Beer Action Potentials Tateno, T., Harsch, A. and Robinson, H.P.C. (2004). Threshold Firing. Neurophysiology 92:2283-2294. #12;IU/COGS-Q580/Beer The Ionic Basis of the Action Potential Delcomyn, F. (1998
A Dynamic Model coupling Photoacclimation and Photoinhibition in Microalgae
Boyer, Edmond
A Dynamic Model coupling Photoacclimation and Photoinhibition in Microalgae Philipp Hartmann1, Andreas Nikolaou2, Beno^it Chachuat2, Olivier Bernard1 Abstract-- Microalgae are often considered a promising al- ternative for production of renewable energy, particularly as a potential producer
Modelling Dynamic Trust with Property Based Attestation in Trusted Platforms
Paris-Sud XI, Universitķ de
Modelling Dynamic Trust with Property Based Attestation in Trusted Platforms Aarthi Nagarajan attestation in trusted computing provides the ability to reason about the state of a platform using integrity attestation by abstracting low level binary values to high level security properties or functions of platforms
Transitions 5.1 The SolidŁonŁSolid Approximation 5.2 Back to the Ising Model 5.3 Recent Progresses 6. Phase Measures 2.3 Weak and Strong Mixing Conditions 2.4 Mixing properties and bounds on relative densities 3 on the Spectral Gap with Free B.C 6.6 Mixed B.C 6.7 Applications 7. Glauber Dynamics for the Dilute Ising Model 7
Fitting Dynamical Models to Observations of Globular Clusters
Dean E. McLaughlin
The basic ingredients of models for the internal dynamics of globular clusters are reviewed, with an emphasis on the description of equilibrium configurations. The development of progressive complexity in the models is traced, concentrating on the inclusion of velocity anisotropy, rotation, and integrals of motion other than energy. Applications to observations of extragalactic globulars and to combined radial-velocity and proper-motion datasets are discussed.
Characterization of the optimal trajectories for the averaged dynamics associated to singularly perturbed control systems
Boyer, Edmond
trajectory of the averaged system. Key words: Optimal control, Singular perturbations, occupational measures is to study singularly perturbed control systems. Firstly, we provide linearized formulation version and sufficient conditions in order to identify the optimal trajectory of the averaged system. Linear programming
Evolutionary dynamic optimization: A survey of the state of the art
World Automation Cong., Orlando FL USA,. 1597. 2002, pp. ..... for dynamic vehicle routing, in: Genetic and Evolutionary Computation. 1896. ConferenceĀ...
Optimal Harvesting in an Age-Structured Predator-Prey Model
Fister, K. Renee [Department of Mathematics and Statistics, Murray State University, Murray, KY 42071-3341 (United States)], E-mail: email@example.com; Lenhart, Suzanne [Department of Mathematics, University of Tennessee, Knoxville, TN 37996-1300 (United States) and Computer Science and Mathematics Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831-6016 (United States)], E-mail: email@example.com
We investigate optimal harvesting control in a predator-prey model in which the prey population is represented by a first-order partial differential equation with age-structure and the predator population is represented by an ordinary differential equation in time. The controls are the proportions of the populations to be harvested, and the objective functional represents the profit from harvesting. The existence and uniqueness of the optimal control pair are established.
Geophysical Fluid Dynamics Laboratory general circulation model investigation of the indirect radiative effects
Russell, Lynn
Geophysical Fluid Dynamics Laboratory general circulation model investigation of the indirect Corporation for Atmospheric Research, Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey, USA V. Ramaswamy, Paul A. Ginoux, and Larry W. Horowitz Geophysical Fluid Dynamics Laboratory, Princeton, New
CVSys: A Coordination Framework for Dynamic and Fully Distributed Cardiovascular Modeling and Simulation
California at Irvine, University of
CVSys: A Coordination Framework for Dynamic and Fully Distributed Cardiovascular Modeling and dynamic simulation control. This coordination framework uniquely incorporates attributes of open indigenous and a more integrated system representation. Dynamic simulation control serves to interject new
An Optimal Path Model for the Risk-Averse Traveler
Leilei Zhang
Jun 11, 2014 ... The model is suitable for a risk-averse traveler, who prefers a path with ... Citation
Gauge turbulence, topological defect dynamics, and condensation in Higgs models
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Gasenzer, Thomas [Universitat Heidelberg, Institut fur Theoretische Physik, Heidelberg (Germany); GSI, ExtreMe Matter Institute EMMI, Darmstadt (Germany); McLerran, Larry [Brookhaven National Laboratory, Physics Department, RIKEN BNL Research Center Upton NY (United States); China Central Normal University, Physics Department, Wuhan (China); Pawlowski, Jan M [Universitat Heidelberg, Institut fur Theoretische Physik, Heidelberg (Germany); GSI, ExtreMe Matter Institute EMMI, Darmstadt (Germany); Sexty, Denes [Universitat Heidelberg, Institut fur Theoretische Physik, Heidelberg (Germany); GSI, ExtreMe Matter Institute EMMI, Darmstadt (Germany)
The real-time dynamics of topological defects and turbulent configurations of gauge fields for electric and magnetic confinement are studied numerically within a 2+1D Abelian Higgs model. It is shown that confinement is appearing in such systems equilibrating after a strong initial quench such as the overpopulation of the infrared modes. While the final equilibrium state does not support confinement, metastable vortex defect configurations appearing in the gauge field are found to be closely related to the appearance of physically observable confined electric and magnetic charges. These phenomena are seen to be intimately related to the approach of a non-thermal fixed point of the far-from-equilibrium dynamical evolution, signaled by universal scaling in the gauge-invariant correlation function of the Higgs field. Even when the parameters of the Higgs action do not support condensate formation in the vacuum, during this approach, transient Higgs condensation is observed. We discuss implications of these results for the far-from-equilibrium dynamics of Yang¢Mills fields and potential mechanisms of how confinement and condensation in non-Abelian gauge fields can be understood in terms of the dynamics of Higgs models. These suggest that there is an interesting new class of dynamics of strong coherent turbulent gauge fields with condensates.
Gauge turbulence, topological defect dynamics, and condensation in Higgs models
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Gasenzer, Thomas; McLerran, Larry; Pawlowski, Jan M.; Sexty, Dķnes
The real-time dynamics of topological defects and turbulent configurations of gauge fields for electric and magnetic confinement are studied numerically within a 2+1D Abelian Higgs model. It is shown that confinement is appearing in such systems equilibrating after a strong initial quench such as the overpopulation of the infrared modes. While the final equilibrium state does not support confinement, metastable vortex defect configurations appearing in the gauge field are found to be closely related to the appearance of physically observable confined electric and magnetic charges. These phenomena are seen to be intimately related to the approach of a non-thermal fixedmoreĀ╗point of the far-from-equilibrium dynamical evolution, signaled by universal scaling in the gauge-invariant correlation function of the Higgs field. Even when the parameters of the Higgs action do not support condensate formation in the vacuum, during this approach, transient Higgs condensation is observed. We discuss implications of these results for the far-from-equilibrium dynamics of Yang¢Mills fields and potential mechanisms of how confinement and condensation in non-Abelian gauge fields can be understood in terms of the dynamics of Higgs models. These suggest that there is an interesting new class of dynamics of strong coherent turbulent gauge fields with condensates.½Āless
Hybrid Genetic Optimization and Statistical Model-Based Approach for the Classification
Mignotte, Max
Hybrid Genetic Optimization and Statistical Model-Based Approach for the Classification of ShadowÐWe present an original statistical classification method using a deformable template model to separate transformations, to take into account the shape variability. Then, the classification problem is defined as a two
An optimizing reduced order FDS for the tropical Pacific Ocean reduced gravity model
Aluffi, Paolo
An optimizing reduced order FDS for the tropical Pacific Ocean reduced gravity model Zhendong Luoa) for the tropical Pacific Ocean reduced gravity model. Ensembles of data are compiled from transient solutions computed from the discrete equation system derived by FDS for the tropical Pacific Ocean reduced gravity
A Mathematical Programming Model for Optimal Layout Considering Quantitative Risk Analysis
Grossmann, Ignacio E.
A Mathematical Programming Model for Optimal Layout Considering Quantitative Risk Analysis Nancy of plant layout with safety considerations. The model considers a quantitative risk analysis to take safety aims at providing a more elaborate analysis of risk sources by considering a complete quantitative risk
PASI 2011: Process Modeling and Optimization for Energy and Sustainability Mineral Process Design for
Grossmann, Ignacio E.
in Asia. Asia will have a strong impact on the global trends in key metals consumption Takashi NishiyamaPASI 2011 PASI 2011: Process Modeling and Optimization for Energy and Sustainability Mineral;Balance between global consumption and the available production Motivation PSE at CICITEM Models
International Conference of Modeling, Optimization and Simulation -MOSIM'12 June 06-08, 2012Bordeaux -France
Boyer, Edmond
with a different approach. KEYWORDS: artificial neural networks inversion; inverse problems; groundwater modeling; groundwater pollution source identification. 1 INTRODUCTION Only a small percentage of water present on Earth9th International Conference of Modeling, Optimization and Simulation - MOSIM'12 June 06-08, 2012
Green Petroleum Refining -Mathematical Models for Optimizing Petroleum Refining Under Emission Constraints
Anderson, Charles H.
Green Petroleum Refining - Mathematical Models for Optimizing Petroleum Refining Under Emission understand that my thesis may be made electronically available to the public. #12;iii Abstract Petroleum and treating options for petroleum refinery waste streams. The performance of the developed model
An Optimization Model for Plug-In Hybrid Electric Vehicles
Malikopoulos, Andreas [ORNL] [ORNL; Smith, David E [ORNL] [ORNL
The necessity for environmentally conscious vehicle designs in conjunction with increasing concerns regarding U.S. dependency on foreign oil and climate change have induced significant investment towards enhancing the propulsion portfolio with new technologies. More recently, plug-in hybrid electric vehicles (PHEVs) have held great intuitive appeal and have attracted considerable attention. PHEVs have the potential to reduce petroleum consumption and greenhouse gas (GHG) emissions in the commercial transportation sector. They are especially appealing in situations where daily commuting is within a small amount of miles with excessive stop-and-go driving. The research effort outlined in this paper aims to investigate the implications of motor/generator and battery size on fuel economy and GHG emissions in a medium-duty PHEV. An optimization framework is developed and applied to two different parallel powertrain configurations, e.g., pre-transmission and post-transmission, to derive the optimal design with respect to motor/generator and battery size. A comparison between the conventional and PHEV configurations with equivalent size and performance under the same driving conditions is conducted, thus allowing an assessment of the fuel economy and GHG emissions potential improvement. The post-transmission parallel configuration yields higher fuel economy and less GHG emissions compared to pre-transmission configuration partly attributable to the enhanced regenerative braking efficiency.
Optimization-based Design of Plant-Friendly Input Signals for Model-on-Demand Estimation and Model Predictive Control
Mittelmann, Hans D.
is shown by applying it to a case study involving composition control of a binary distillation column. I is demonstrated in a binary high-purity distillation column case study by Weischedel and McAvoy [7], a demandingOptimization-based Design of Plant-Friendly Input Signals for Model-on-Demand Estimation and Model
Cluster Statistics and Quasisoliton Dynamics in Microscopic Car-following Models
Bo Yang; Xihua Xu; John Z. F. Pang; Christopher Monterola
Using the optimal velocity (OV) model as an example, we show that in the non-linear regime there is an emergent quantity that gives the extremum headways in the cluster formation, as well as the coexistence curve separating the absolute stable phase from the metastable phase. This emergent quantity is independent of the density of the traffic lane, and determines an intrinsic scale that characterizes the dynamics of localized quasisoliton structures given by the time derivative of the headways. The intrinsic scale is analogous to the "charge" of quasisolitons that controls the strength of interaction between multiple clusters, leading to non-trivial cluster statistics from random perturbations to initial uniform traffic. The cluster statistics depend both on the charge and the density of the traffic lane; the relationship is qualitatively universal for general car-following models.
Simulation Models to Optimize the Energy Consumption of Buildings
Burhenne, S.; Jacob, D.
of building simulation important parameters are the occupancy and the control parameters. For a simple zone model the simple hourly method (SHM) according to ISO 13790 is used. This zone model is based on a five resistances and one capacitance (5R1C...) model (Figure 5). Figure 5. Five resistances, one capacitance (5R1C) model [ISO 13790:2007, p. 29] According to ISO 13790 the intention of the simple hourly method is to have a transparent, reproducible and robust model with a limited...
Optimization of large-scale heterogeneous system-of-systems models.
Parekh, Ojas; Watson, Jean-Paul; Phillips, Cynthia Ann; Siirola, John; Swiler, Laura Painton; Hough, Patricia Diane (Sandia National Laboratories, Livermore, CA); Lee, Herbert K. H. (University of California, Santa Cruz, Santa Cruz, CA); Hart, William Eugene; Gray, Genetha Anne (Sandia National Laboratories, Livermore, CA); Woodruff, David L. (University of California, Davis, Davis, CA)
Decision makers increasingly rely on large-scale computational models to simulate and analyze complex man-made systems. For example, computational models of national infrastructures are being used to inform government policy, assess economic and national security risks, evaluate infrastructure interdependencies, and plan for the growth and evolution of infrastructure capabilities. A major challenge for decision makers is the analysis of national-scale models that are composed of interacting systems: effective integration of system models is difficult, there are many parameters to analyze in these systems, and fundamental modeling uncertainties complicate analysis. This project is developing optimization methods to effectively represent and analyze large-scale heterogeneous system of systems (HSoS) models, which have emerged as a promising approach for describing such complex man-made systems. These optimization methods enable decision makers to predict future system behavior, manage system risk, assess tradeoffs between system criteria, and identify critical modeling uncertainties.
A dynamical symmetry breaking model in Weyl space
A. Feoli; W. R. Wood; G. Papini
The dynamical process following the breaking of Weyl geometry to Riemannian geometry is considered by studying the motion of de Sitter bubbles in a Weyl vacuum. The bubbles are given in terms of an exact, spherically symmetric thin shell solution to the Einstein equations in a Weyl-Dirac theory with a time-dependent scalar field of the form beta = f(t)/r. The dynamical solutions obtained lead to a number of possible applications. An important feature of the thin shell model is the manner in which beta provides a connection between the interior and exterior geometries since information about the exterior geometry is contained in the boundary conditions for beta.
Gaussian Process Model for Collision Dynamics of Complex Molecules
Cui, Jie
We show that a Gaussian Process model can be combined with a small number of scattering calculations to provide an accurate multi-dimensional dependence of scattering observables on the experimentally controllable parameters (such as the collision energy, temperature or external fields) as well as the potential energy surface parameters. This can be used for solving the inverse scattering problem, the prediction of collision properties of a specific molecular system based on the information for another molecule, the efficient calculation of thermally averaged observables and for reducing the error of the molecular dynamics calculations by averaging over the potential energy surface variations. We show that, trained by a combination of classical and quantum dynamics calculations, the model provides an accurate description of the scattering cross sections, even near scattering resonances. In this case, the classical calculations stabilize the model against uncertainties arising from wildly varying correlations ...
Mathematical Modeling of Microbial Community Dynamics: A Methodological Review
Song, Hyun-Seob; Cannon, William R.; Beliaev, Alex S.; Konopka, Allan
Microorganisms in nature form diverse communities that dynamically change in structure and function in response to environmental variations. As a complex adaptive system, microbial communities show higher-order properties that are not present in individual microbes, but arise from their interactions. Predictive mathematical models not only help to understand the underlying principles of the dynamics and emergent properties of natural and synthetic microbial communities, but also provide key knowledge required for engineering them. In this article, we provide an overview of mathematical tools that include not only current mainstream approaches, but also less traditional approaches that, in our opinion, can be potentially useful. We discuss a broad range of methods ranging from low-resolution supra-organismal to high-resolution individual-based modeling. Particularly, we highlight the integrative approaches that synergistically combine disparate methods. In conclusion, we provide our outlook for the key aspects that should be further developed to move microbial community modeling towards greater predictive power.
Tariffs with Dynamic Supply Response
Karp, Larry
Giannini FDN iibrary TARIFFS WITH DYNAMIC SUPPLY RESWNSEpaper studies the optimal tariff in a dynamic framework. Thesellers, the optimal tariff is dynam- ically inconsistent;
Modeling for deformable mirrors and the adaptive optics optimization program
Henesian, M.A.; Haney, S.W.; Trenholme, J.B. [Lawrence Livermore National Lab., CA (United States); Thomas, M. [Massachusetts Inst. of Tech., Cambridge, MA (United States). Plasma Fusion Center
We discuss aspects of adaptive optics optimization for large fusion laser systems such as the 192-arm National Ignition Facility (NIF) at LLNL. By way of example, we considered the discrete actuator deformable mirror and Hartmann sensor system used on the Beamlet laser. Beamlet is a single-aperture prototype of the 11-0-5 slab amplifier design for NIF, and so we expect similar optical distortion levels and deformable mirror correction requirements. We are now in the process of developing a numerically efficient object oriented C++ language implementation of our adaptive optics and wavefront sensor code, but this code is not yet operational. Results are based instead on the prototype algorithms, coded-up in an interpreted array processing computer language.
Sparse optimization for inverse problems in atmospheric modelling
Apr 13, 2015 ... In S.-E. Gryning and F. Schiermeier, editors, Air Pollution Modeling and Its Application. XI, volume 21 of NATO Challenges of Modern Society,Ā...
Optimization Online - An inventory model with shortages for ...
A Mukhopadhyay
Apr 2, 2014 ... Abstract: Inventory models with imperfect quality items are studied by researchers in past two decades. Till now none of them have consideredĀ...
Optimal Execution Under Jump Models For Uncertain Price Impact
May 12, 2011 ... Unfortunately current quantitative analysis of the execution cost ... Thus risk assessment under this model, particularly the tail risk, is likely to beĀ...
Optimization Online - Using EPECs to model bilevel games in ...
Xinmin Hu
Jan 5, 2006 ... Abstract: We study a bilevel noncooperative game-theoretic model of restructured electricity markets, with locational marginal prices.
Optimization Online - A Structure-Conveying Modelling Language ...
Marco Colombo
Mar 24, 2009 ... A Structure-Conveying Modelling Language for Mathematical and Stochastic Programming. Marco Colombo (m.colombo ***at*** ed.ac.uk)
Optimization Online - PSMG-A Parallel Structured Model Generator ...
Feng Qiang
Oct 10, 2014 ... As far as we are aware, PSMG is the first processor for an algebraic modelling language that is capable of generating the problem in parallel.
Model for dynamic self-assembled magnetic surface structures.
Belkin, M.; Glatz, A.; Snezhko, A.; Aranson, I. S.; Materials Science Division; Northwestern Univ.
We propose a first-principles model for the dynamic self-assembly of magnetic structures at a water-air interface reported in earlier experiments. The model is based on the Navier-Stokes equation for liquids in shallow water approximation coupled to Newton equations for interacting magnetic particles suspended at a water-air interface. The model reproduces most of the observed phenomenology, including spontaneous formation of magnetic snakelike structures, generation of large-scale vortex flows, complex ferromagnetic-antiferromagnetic ordering of the snake, and self-propulsion of bead-snake hybrids.
Accounting for the effects of rehabilitation actions on the reliability of flexible pavements: performance modeling and optimization
Deshpande, Vighnesh Prakash
A performance model and a reliability-based optimization model for flexible pavements that accounts for the effects of rehabilitation actions are developed. The developed performance model can be effectively implemented in all the applications...
Modeling Dynamics in the Central Regions of Disk Galaxies
Isaac Shlosman
The central regions of disk galaxies are hosts to supermassive black holes whose masses show a tight correlation with the properties of surrounding stellar bulges. While the exact origin of this dependency is not clear, it can be related to the very basic properties of dark matter halos and the associated gas and stellar dynamics in the central kpc of host galaxies. In this review we discuss some of the recent developments in modeling the wide spectrum of dynamical processes which can be affiliated with the above phenomena, such as the structure of molecular tori in AGN, structure formation in triaxial halos, and dissipative and non-dissipative dynamics in nested bar systems, with a particular emphasis on decoupling of gaseous nuclear bars. We also briefly touch on the subject of fueling the nuclear starbursts and AGN.
Optimizing Mobile Application Performance with ModelDriven Engineering
Schmidt, Douglas C.
describes current research in developing an MDE tool for modeling mobile software architectures and using the following contributions to the study of mobile software development: (1) it shows how models of a mobile it difficult to test power consumption and performance until late in the software lifecycle [14], e.g., during
A Dynamic Energy Budget (DEB) model for the energy usage and reproduction of the Icelandic capelin (Mallotus villosus)
Einarsson, Baldvin; Birnir, Bjorn; Sigursson, Sven ▐.
S.A.L.M. , 2010. Dynamic Energy Budget Theory For Metabolicthe use of dynamic energy budget theory. Biological Reviewsthrough dynamic energy budget models. Jour- nal of Animal
Optimization of carbon capture systems using surrogate models of simulated processes.
Cozad, A.; Chang, Y.; Sahinidis, N.; Miller, D.
With increasing demand placed on power generation plants to reduce carbon dioxide (CO2) emissions, processes to separate and capture CO2 for eventual sequestration are highly sought after. Carbon capture processes impart a parasitic load on the power plants; it is estimated that this would increase the cost of electricity from existing pulverized coal plants anywhere from 71-85 percent [1]. The National Energy and Technology Lab (NETL) is working to lower this to below a 30 percent increase. To reach this goal, work is being done not only to accurately simulate these processes, but also to leverage those accurate and detailed simulations to design optimal carbon capture processes. The major challenges include the lack of accurate algebraic models of the processes, computationally costly simulations, and insufficiently robust simulations. The first challenge bars the use of provable derivative-based optimization algorithms. The latter two can either lead to difficult or impossible direct derivative-free optimization. To overcome these difficulties, we take a more indirect method to solving this problem by, first, generating an accurate set of algebraic surrogate models from the simulation then using derivative-based solvers to optimize the surrogate models. We developed a method that uses derivative-based and derivative-free optimization alongside machine learning and statistical techniques to generate the set of low-complexity surrogate models using data sampled from detailed simulations. The models are validated and improved through the use of derivative-free solvers to adaptively sample new simulation points. The resulting surrogate models can then be used in a superstructure-based process synthesis and solved using derivative-based methods to optimize carbon capture processes.
Hybrid Model for Building Performance Diagnosis and Optimal Control
Wang, S.; Xu, X.
simulation model is based on first principles, either a detailed first principles model, such as EnergyPlus (Crawley and Drury 2000), DOE-2 (Ed Kidd et al. 2001), or a simplified first principles model, such as AIRMODEL (Giebler et al. 1998) which....D. (1999). Whole building diagnostics. http://poet.lbl.gov/diagworkshop/proceedings Crawley, Drury B. (2000). EnergyPlus: energy simulation program; ASHRAE Journal Apr 2000; Vol. 42(4):49-56. Davis L. (1991). Handbook of genetic algorithms. New...
Dynamic Absorption Model for Off-Gas Separation
Veronica J. Rutledge
Modeling and simulations will aid in the future design of U.S. advanced reprocessing plants for the recovery and recycle of actinides in used nuclear fuel. The specific fuel cycle separation process discussed in this report is the off-gas treatment system. The off-gas separation consists of a series of scrubbers and adsorption beds to capture constituents of interest. Dynamic models are being developed to simulate each unit operation involved so each unit operation can be used as a stand-alone model and in series with multiple others. Currently, a rate based, dynamic absorption model is being developed in gPROMS software. Inputs include liquid and gas stream constituents, column properties, liquid and gas phase reactions, number of stages, and inlet conditions. It simulates multiple component absorption with countercurrent flow and accounts for absorption by mass transfer and chemical reaction. The assumption of each stage being a discrete well-mixed entity was made. Therefore, the model is solved stagewise. The simulation outputs component concentrations in both phases as a function of time from which the rate of absorption is determined. Temperature of both phases is output as a function of time also. The model will be used able to be used as a standalone model in addition to in series with other off-gas separation unit operations. The current model is being generated based on NOx absorption; however, a future goal is to develop a CO2 specific model. The model will have the capability to be modified for additional absorption systems. The off-gas models, both adsorption and absorption, will be made available via the server or web for evaluation by customers.
Dynamics of Matter in a Compactified Kaluza-Klein Model
Valentino Lacquaniti; Giovanni Montani
A longstanding problem in Kaluza-Klein models is the description of matter dynamics. Within the 5D model, the dimensional reduction of the geodesic motion for a 5D free test particle formally restores electrodynamics, but the reduced 4D particle shows a charge-mass ratio that is upper bounded, such that it cannot fit to any kind of elementary particle. At the same time, from the quantum dynamics viewpoint, there is the problem of the huge massive modes generation. We present a criticism against the 5D geodesic approach and face the hypothesis that in Kaluza-Klein space the geodesic motion does not deal with the real dynamics of test particle. We propose a new approach: starting from the conservation equation for the 5D matter tensor, within the Papapetrou multipole expansion, we prove that the 5D dynamical equation differs from the 5D geodesic one. Our new equation provides right coupling terms without bounding and in such a scheme the tower of massive modes is removed.
Model of a deterministic detector and dynamical decoherence
Lee, Jae Weon; Shepelyansky, Dima L. [Laboratoire de Physique Theorique, UMR 5152 du CNRS, Univ. P. Sabatier, 31062 Toulouse Cedex 4 (France); Averin, Dmitri V. [Department of Physics, University of Stony Brook, SUNY, Stony Brook, New York 11794 (United States); Benenti, Giuliano [Center for Nonlinear and Complex Systems, Universita degli Studi dell'Insubria and Istituto Nazionale per la Fisica della Materia, Unita di Como, Via Valleggio 11, 22100 Como (Italy)
We discuss a deterministic model of detector coupled to a two-level system (a qubit). The detector is a quasiclassical object whose dynamics is described by the kicked rotator Hamiltonian. We show that in the regime of quantum chaos the detector acts as a chaotic bath and induces decoherence of the qubit. We discuss the dephasing and relaxation rates and demonstrate that the main features of single-qubit decoherence due to a heat bath can be reproduced by our fully deterministic dynamical model. Moreover, we show that, for strong enough qubit-detector coupling, the dephasing rate is given by the rate of exponential instability of the detector's dynamics, that is, by the Lyapunov exponent of classical motion. Finally, we discuss the measurement in the regimes of strong and weak qubit-detector coupling. For the case of strong coupling the detector performs a measurement of the up/down state of the qubit. In the case of weak coupling, due to chaos, the dynamical evolution of the detector is strongly sensitive to the state of the qubit. However, in this case it is unclear how to extract a signal from any measurement with a coarse-graining in the phase space on a size much larger than the Planck cell.
Constraining climate model properties using optimal fingerprint detection methods
Forest, Chris Eliot.; Allen, Myles R.; Sokolov, Andrei P.; Stone, Peter H.
We present a method for constraining key properties of the climate system that are important for climate prediction (climate sensitivity and rate of heat penetration into the deep ocean) by comparing a model's response to ...
Hybrid fuzzy and optimal modeling for water quality evaluation
Wang, Dong; Singh, Vijay P.; Zhu, Yuansheng
Water quality evaluation entails both randomness and fuzziness. Two hybrid models are developed, based on the principle of maximum entropy (POME) and engineering fuzzy set theory (EFST). Generalized weighted distances are defined for considering...
Recent developments in DYNSUB: New models, code optimization and parallelization
Daeubler, M.; Trost, N.; Jimenez, J.; Sanchez, V. [Karlsruhe Institute of Technology, Institute for Neutron Physics and Reactor Technology, Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen (Germany)
DYNSUB is a high-fidelity coupled code system consisting of the reactor simulator DYN3D and the sub-channel code SUBCHANFLOW. It describes nuclear reactor core behavior with pin-by-pin resolution for both steady-state and transient scenarios. In the course of the coupled code system's active development, super-homogenization (SPH) and generalized equivalence theory (GET) discontinuity factors may be computed with and employed in DYNSUB to compensate pin level homogenization errors. Because of the largely increased numerical problem size for pin-by-pin simulations, DYNSUB has bene fitted from HPC techniques to improve its numerical performance. DYNSUB's coupling scheme has been structurally revised. Computational bottlenecks have been identified and parallelized for shared memory systems using OpenMP. Comparing the elapsed time for simulating a PWR core with one-eighth symmetry under hot zero power conditions applying the original and the optimized DYNSUB using 8 cores, overall speed up factors greater than 10 have been observed. The corresponding reduction in execution time enables a routine application of DYNSUB to study pin level safety parameters for engineering sized cases in a scientific environment. (authors)
Dynamical Wave Function Collapse Models in Quantum Measure Theory
Fay Dowker; Yousef Ghazi-Tabatabai
The structure of Collapse Models is investigated in the framework of Quantum Measure Theory, a histories-based approach to quantum mechanics. The underlying structure of coupled classical and quantum systems is elucidated in this approach which puts both systems on a spacetime footing. The nature of the coupling is exposed: the classical histories have no dynamics of their own but are simply tied, more or less closely, to the quantum histories.
Dynamic ModelingDynamic Modeling the Electric Power Networkthe Electric Power Network
Oro, Daniel
at the National Energy Modeling System/Annual Energy Outlook Conference, Washington, DC, March 10, 2003] #12
Best practices for system dynamics model design and construction with powersim studio.
Malczynski, Leonard A.
This guide addresses software quality in the construction of Powersim{reg_sign} Studio 8 system dynamics simulation models. It is the result of almost ten years of experience with the Powersim suite of system dynamics modeling tools (Constructor and earlier Studio versions). It is a guide that proposes a common look and feel for the construction of Powersim Studio system dynamics models.
Learning Multiple Models of Non-Linear Dynamics for Control under Varying Contexts
Vijayakumar, Sethu
Learning Multiple Models of Non-Linear Dynamics for Control under Varying Contexts Georgios Petkos for adaptive motor control exist which learn the system's inverse dynamics online and use this single model;II Command Context 1 Context 2 Dynamics models Context n Control Learning Commands Switch / Mix
Dabiri, John O.
AIAA 2001-2126 DYNAMICAL MODELS FOR CONTROL OF CAVITY OSCILLATIONS Clarence W. Rowley Tim Colonius have used an explicit dynamical model for control design, or analysis of performance or robustness, CA 91125 Abstract We investigate nonlinear dynamical models for self- sustained oscillations
Learning Multiple Models of Non-Linear Dynamics for Control under Varying Contexts
Toussaint, Marc
Learning Multiple Models of Non-Linear Dynamics for Control under Varying Contexts Georgios Petkos for adaptive motor control exist which learn the system's inverse dynamics online and use this single model version - to appear in ICANN 2006 #12;II Command Context 1 Context 2 Dynamics models Context n Control
Load estimation and control using learned dynamics models Georgios Petkos and Sethu Vijayakumar
Vijayakumar, Sethu
Load estimation and control using learned dynamics models Georgios Petkos and Sethu Vijayakumar with their robustness in light of imperfect, intermediate dynamic models. I. INTRODUCTION Adaptive control the learned dynamics for control. In Section IV, we see how from a set of learned models with known inertial
Nuclear Hybrid Energy System Modeling: RELAP5 Dynamic Coupling Capabilities
Piyush Sabharwall; Nolan Anderson; Haihua Zhao; Shannon Bragg-Sitton; George Mesina
The nuclear hybrid energy systems (NHES) research team is currently developing a dynamic simulation of an integrated hybrid energy system. A detailed simulation of proposed NHES architectures will allow initial computational demonstration of a tightly coupled NHES to identify key reactor subsystem requirements, identify candidate reactor technologies for a hybrid system, and identify key challenges to operation of the coupled system. This work will provide a baseline for later coupling of design-specific reactor models through industry collaboration. The modeling capability addressed in this report focuses on the reactor subsystem simulation.
Multi-objective optimization of an ecological assembly model
Coello, Carlos A. Coello
that the invasive species have on the community are the extinction of invasive species with or without sec- ondary assembly models, species are introduced from a pool of species according to a sequence of invasion species pools the MOEAs were able to generate communi- ties of different expected connectances
Modeling and Optimal Regulation of Erythropoiesis Subject to Benzene Intoxication
humans and laboratory animals [11, 16]. Increased incidence of acute myelogenous leukemia in humans obtained in vitro [5, 6]. Since in vitro metabolic parameters are also available for humans, the model could then be extrapolated to humans for risk assessment. Since benzene is a known human leukemogen
User Guide for PV Dynamic Model Simulation Written on PSCAD Platform
Muljadi, E.; Singh, M.; Gevorgian, V.
This document describes the dynamic photovoltaic model developed by the National Renewable Energy Laboratory and is intended as a guide for users of these models.
Preliminary results of a dynamic system model for a closed-loop Brayton cycle coupled to a nuclear reactor.
Wright, Steven Alan
This paper describes preliminary results of a dynamic system model for a closed-loop Brayton-cycle that is coupled to a nuclear reactor. The current model assumes direct coupling between the reactor and the Brayton-cycle, however only minor additions are required to couple the Brayton-cycle through a heat exchanger to either a heat pipe reactor or a liquid metal cooled reactor. Few reactors have ever been coupled to closed Brayton-cycle systems. As such their behavior under dynamically varying loads, startup and shut down conditions, and requirements for safe and autonomous operation are largely unknown. Sandia National Laboratories has developed steady-state and dynamic models for closed-loop turbo-compressor systems (for space and terrestrial applications). These models are expected to provide a basic understanding of the dynamic behavior and stability of the coupled reactor and power generation loop. The model described in this paper is a lumped parameter model of the reactor, turbine, compressor, recuperator, radiator/waste-heat-rejection system and generator. More detailed models that remove the lumped parameter simplifications are also being developed but are not presented here. The initial results of the model indicate stable operation of the reactor-driven Brayton-cycle system and its ability to load-follow. However, the model also indicates some counter-intuitive behavior for the complete coupled system. This behavior will require the use of a reactor control system to select an appropriate reactor operating temperature that will optimize the performance of the complete spacecraft system. We expect this model and subsequent versions of it to provide crucial information in developing procedures for safe start up, shut down, safe-standby, and other autonomous operating modes. Ultimately, Sandia hopes to validate these models and to perform nuclear ground tests of reactor-driven closed Brayton-cycle systems in our nuclear research facilities.
Modelling the e#ects of air pollution on health using Bayesian Dynamic Generalised Linear Models
Bath, University of
Modelling the e#ects of air pollution on health using Bayesian Dynamic Generalised Linear Models 1 Introduction The potential detrimental e#ects of ambient air pollution is a major issue in public (2004)). Large multiŁcity studies such as `Air pollution and health: a European approach' (APHEA
Code description: A dynamic modelling strategy for Bayesian computer model emulation
West, Mike
Code description: A dynamic modelling strategy for Bayesian computer model emulation 1 Example data and code directory The example data is provided under the directory "mydata": ┬Ę "design1.dat": this file2.dat": this file contains the 60 validation runs. The Matlab code is provided under the directory
Heuristic Selection for Stochastic Search Optimization: Modeling Solution Quality by Extreme Value Theory
Cicirello, Vincent A.
such as heuristic-biased stochastic sam- pling (HBSS) and value-biased stochastic sampling (VBSS), whereinHeuristic Selection for Stochastic Search Optimization: Modeling Solution Quality by Extreme firstname.lastname@example.com Abstract. The success of stochastic algorithms is often due to their ability to effectively amplify
Recent developments in model-based optimization and control of subsurface flow
Van den Hof, Paul
; identifiability; model reduction. 1. INTRODUCTION The production of oil and gas from petroleum reservoirs the pores of subsurface rock lay- ers. The production life of a petroleum reservoir generally lasts a number configurations and production strategies, but an emerging use is in the 'real-time' optimization and control
Keller's model Variable energy recreation Bounding the derivative of f Optimization of running strategies based on
Boyer, Edmond
strategies based on anaerobic energy and variations of velocity J. Fr┤ed┤eric Bonnans Inria-Saclay and CMAP of running strategies hal-01024231,version1-15Jul2014 #12;Keller's model Variable energy recreation Bounding.F. Bonnans, Optimization of running strategies based on anaerobic energy and variations of velocity. SIAM J
Modeling and Optimizing Hypertextual Search Engines Based on the Reasearch of Larry Page and Sergey Brin
Wu, Xindong
Engines April 15, 2009 7 / 57 #12;Introduction - Section II - Outline Terms and Definitions Brief Search' or displayed back to the user in hypertextual format. mek (UVM) Search Engines April 15, 2009 9 / 57 #12;TermsModeling and Optimizing Hypertextual Search Engines Based on the Reasearch of Larry Page and Sergey
Optimal Perturbations in the Eady Model: Resonance versus PV Unshielding H. DE VRIES
de Vries, Hylke
Optimal Perturbations in the Eady Model: Resonance versus PV Unshielding H. DE VRIES Institute August 2004) ABSTRACT Using a nonmodal decomposition technique based on the potential vorticity (PV, such that the initial surface potential temperature (PT) is zero. These nonmodal structures are used as PV building
IEEE/ASME TRANSACTIONS ON MECHATRONICS-.-1 Modeling and optimal force control of a nonlinear
Paris-Sud XI, Universitķ de
IEEE/ASME TRANSACTIONS ON MECHATRONICS-.- 1 Modeling and optimal force control of a nonlinear analysis, Kalman filtering, LQG force control, Micro-glass balls manipulation. I. INTRODUCTION Designing and controlling systems able to perform dexter- ous manipulation tasks on small components (i.e. between 1Ąm and 1
Toward Optimized Bioclogging and Biocementation Through Combining Advanced Geophysical Monitoring and Reactive Transport Modeling
Hubbard, Susan
and electrical techniques); (ii) developing and using a reactive transport simulator capable of predicting and Reactive Transport Modeling Approaches Christopher G Hubbard1 , Susan S. Hubbard1 , Yuxin Wu1 , Vikranth heterogeneities at the field scale. Optimization of these strategies requires advances in mechanistic reactive
1 P A P E R 2 Design, Modeling and Optimization of an
Qu, Zhihua
1 P A P E R 2 Design, Modeling and Optimization of an 3 Ocean Wave Power Generation Buoy 4 A U T H source of energy. Exist- 44 ing systems, typically hydraulic turbines powered by high-pressure fluids, are very 45 large in size and costly. Additionally, they require large ocean waves in which to op- 46 erate
Optimizing spectral indices and chemometric analysis of leaf chemical properties using radiative transfer modeling
Gitelson, Anatoly
Optimizing spectral indices and chemometric analysis of leaf chemical properties using radiative for Sciences, 260 Panama Street, Stanford, CA 94305, USA d Center for Advanced Land Management Information squares regression We used synthetic reflectance spectra generated by a radiative transfer model, PROSPECT
Optimizing spectral indices and chemometric analysis of leaf chemical properties using radiative transfer modeling
Gitelson, Anatoly
Optimizing spectral indices and chemometric analysis of leaf chemical properties using radiative for Sciences, 260 Panama Street, Stanford, CA 94305, USA d Center for Advanced Land Management Information regression We used synthetic reflectance spectra generated by a radiative transfer model, PROSPECT-5
Modelling and Design Optimization of Low Speed Fuel Cell Hybrid Electric Vehicles
Victoria, University of
Modelling and Design Optimization of Low Speed Fuel Cell Hybrid Electric Vehicles by Matthew Blair electric vehicles, empirical fuel cell system data has been incorporated into the NREL's vehicle design and simulation tool, ADVISOR (ADvanced Vehicle SimulatOR), to predict the performance of a low-speed, fuel cell
Finding best practices for automotive glazing recycling: a network optimization model
Boyer, Edmond
: a network optimization model," Journal of Cleaner Production, vol. Xx, 2013 DOI : 10.1016/J.JCLEPRO.2013.02.022 hal-00796046,version1-1Mar2013 Author manuscript, published in "Journal of Cleaner Production (2013 for transport glazing from store s to treatment unit r Unit cost for treatment in unit r Production coefficient
Paris-Sud XI, Universitķ de
THE USE OF HYDRAULIC MODELS TO OPTIMIZE THE REHABILITATION OF AN OPEN CHANNEL IRRIGATION SYSTEM of irrigation, as well as the type of control used for managing the system and has led to the use factors like diurnal irrigation or the significant storage capacity of the system, and would lead
Modeling and Optimization of Next Generation Feedstock Development for Chemical Process
Grossmann, Ignacio E.
Modeling and Optimization of Next Generation Feedstock Development for Chemical Process Industry -Glutamic acid Anaerobic digestion mass Cellulose Biogas Bio oil Gasoline Diesel Butanol Dimethyl ether,Oil Polyol Biodiesel Glycerin Naphtha and Diesel Liquefaction / d h l Thermo chemical Protein Protein
Power system analysis project Modeling and Sizing optimization of Stand-alone
Lavaei, Javad
Power system analysis project Modeling and Sizing optimization of Stand-alone photovoltaic in examining the possibility to create a reliable stand-alone hybrid generation system composed of photovoltaic/wind-generator systems zhixing zhang 2013/5/30 Explore the possibility for supplying electricity using solar/wind hybrid
Optimization and theoretical modeling of polymer microlens arrays fabricated with the hydrophobic effect
Esener, Sadik C.
- fied that will allow lens arrays to be constructed at low cost. In addition, these arrays mustOptimization and theoretical modeling of polymer microlens arrays fabricated with the hydrophobic were fabricated by means of withdrawing substrates of patterned wettability from a monomer solution
Hydrodynamic Modeling, Optimization and Performance Assessment for Ducted and Non-ducted Tidal Turbines
Pedersen, Tom
Turbines by Michael Robert Shives B.Eng., Carleton University, 2008 A Dissertation Submitted in Partial Hydrodynamic Modeling, Optimization and Performance Assessment for Ducted and Non-ducted Tidal Turbines) #12;iii ABSTRACT This thesis examines methods for designing and analyzing kinetic turbines based
Hydrodynamic Modeling, Optimization and Performance Assessment for Ducted and Non-ducted Tidal Turbines
Victoria, University of
Turbines by Michael Robert Shives B.Eng., Carleton University, 2008 A Thesis Submitted in Partial Hydrodynamic Modeling, Optimization and Performance Assessment for Ducted and Non-ducted Tidal Turbines examines methods for designing and analyzing kinetic turbines based on blade element momentum (BEM) theory
Models, Calculation and Optimization of Gas Networks, Equipment and Contracts for Design, Operation, Booking and Accounting
Ostromuhov, Leonid A
There are proposed models of contracts, technological equipment and gas networks and methods of their optimization. The flow in network undergoes restrictions of contracts and equipment to be operated. The values of sources and sinks are provided by contracts. The contract models represent (sub-) networks. The simplest contracts represent either nodes or edges. Equipment is modeled by edges. More sophisticated equipment is represented by sub-networks. Examples of such equipment are multi-poles and compressor stations with many entries and exits. The edges can be of different types corresponding to equipment and contracts. On such edges, there are given systems of equation and inequalities simulating the contracts and equipment. On this base, the methods proposed that allow: calculation and control of contract values for booking on future days and for accounting of sales and purchases; simulation and optimization of design and of operation of gas networks. These models and methods are realized in software syst...
Integrated method to create optimal dynamic strategic plans for corporate technology start-ups
Mikati, Samir Omar
This thesis presents an innovative method for evaluating and dynamically planning the development of uncertain technology investments. Its crux centers on a paradigm shift in the way managers assess investments, toward an ...
Swing Dynamics as Primal-Dual Algorithm for Optimal Load Control
Low, Steven H.
al. studied the aggregate response character- istics when individual loads are turned on networks, loads can pro- vide flexible, fast responsive, and decentralized sources for frequency regulation and generation-demand balancing, com- plementary to generation control. We consider an optimal load control (OLC
Dynamics-aware Optimal Power Flow Enrique Mallada and Ao Tang
Tang, A. Kevin
oscillations and voltage stability margins. This leads to two novel optimization problems that can find operation points which minimize oscillations or maximize voltage stability margins, and make apparent and small signal oscillation studies because the voltage collapse margin and stability of the operating
Optimization of hybrid dynamic/steady-state processes using process integration
Grooms, Daniel Douglas
................................................................................... 34 4.5 Conclusions.................................................................................. 37 vii CHAPTER Page V OPTIMAL DESIGN AND SCHEDULING OF SEMI-BATCH ADSORPTIVE/REGENERATIVE SYSTEMS FOR INDUSTRIAL WATER PURIFICATION... Regenerant-to-MSA ratio RXS Flowrate of regenerant in excess of stoichiometric amount Regen Binary regeneration variable RelaxationDeviation Integer relaxation penalty term SINKS Set of sinks SOURCES Set of sources SS Subset of steady...
An implementation of optimal dynamic load balancing based on multipath IP routing
] has tackled this problem from the transport layer side: here, TCP sources manage multiple congestion build on recent theory which shows a globally optimum resource allocation across the TCP/IP layers can of demands within network capacity. Solutions involve use of optimization together with practical techniques
On the Single-Zone Modeling for Optimal Climate Control of a Real-Sized Livestock Stable System
Yang, Zhenyu
climate control systems. A typical modern stable system is usually equipped with a hybrid ventilation [3On the Single-Zone Modeling for Optimal Climate Control of a Real-Sized Livestock Stable System and implementation of a model-based optimal indoor climate control for a real-sized livestock stable system
A Simple Optimal Power Flow Model with Energy Storage K. Mani Chandy, Steven H. Low, Ufuk Topcu and Huan Xu
Xu , Huan
A Simple Optimal Power Flow Model with Energy Storage K. Mani Chandy, Steven H. Low, Ufuk Topcu and Huan Xu Abstract-- The integration of renewable energy generation, such as wind power how storage allows optimization of power generation across multiple time periods. The model
Eulerian hydrocode modeling of a dynamic tensile extrusion experiment (u)
Burkett, Michael W [Los Alamos National Laboratory; Clancy, Sean P [Los Alamos National Laboratory
Eulerian hydrocode simulations utilizing the Mechanical Threshold Stress flow stress model were performed to provide insight into a dynamic extrusion experiment. The dynamic extrusion response of copper (three different grain sizes) and tantalum spheres were simulated with MESA, an explicit, 2-D Eulerian continuum mechanics hydrocode and compared with experimental data. The experimental data consisted of high-speed images of the extrusion process, recovered extruded samples, and post test metallography. The hydrocode was developed to predict large-strain and high-strain-rate loading problems. Some of the features of the features of MESA include a high-order advection algorithm, a material interface tracking scheme and a van Leer monotonic advection-limiting. The Mechanical Threshold Stress (MTS) model was utilized to evolve the flow stress as a function of strain, strain rate and temperature for copper and tantalum. Plastic strains exceeding 300% were predicted in the extrusion of copper at 400 m/s, while plastic strains exceeding 800% were predicted for Ta. Quantitative comparisons between the predicted and measured deformation topologies and extrusion rate were made. Additionally, predictions of the texture evolution (based upon the deformation rate history and the rigid body rotations experienced by the copper during the extrusion process) were compared with the orientation imaging microscopy measurements. Finally, comparisons between the calculated and measured influence of the initial texture on the dynamic extrusion response of tantalum was performed.
Model-Based Transient Calibration Optimization for Next Generation Diesel
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport(FactDepartment3311,OfficialProducts | Department of| DepartmentModelEnergyEngines
Dynamic mesoscale model of dipolar fluids via fluctuating hydrodynamics
Persson, Rasmus A. X.; Chu, Jhih-Wei, E-mail: email@example.com [Institute of Bioinformatics and Systems Biology, National Chiao Tung University, Hsinchu 30068, Taiwan (China); Department of Biological Science and Technology, National Chiao Tung University, Hsinchu 30068, Taiwan (China); Voulgarakis, Nikolaos K. [Department of Mathematics, Washington State University, Richland, Washington 99372 (United States)
Fluctuating hydrodynamics (FHD) is a general framework of mesoscopic modeling and simulation based on conservational laws and constitutive equations of linear and nonlinear responses. However, explicit representation of electrical forces in FHD has yet to appear. In this work, we devised an Ansatz for the dynamics of dipole moment densities that is linked with the Poisson equation of the electrical potential ? in coupling to the other equations of FHD. The resulting ?-FHD equations then serve as a platform for integrating the essential forces, including electrostatics in addition to hydrodynamics, pressure-volume equation of state, surface tension, and solvent-particle interactions that govern the emergent behaviors of molecular systems at an intermediate scale. This unique merit of ?-FHD is illustrated by showing that the water dielectric function and ion hydration free energies in homogeneous and heterogenous systems can be captured accurately via the mesoscopic simulation. Furthermore, we show that the field variables of ?-FHD can be mapped from the trajectory of an all-atom molecular dynamics simulation such that model development and parametrization can be based on the information obtained at a finer-grained scale. With the aforementioned multiscale capabilities and a spatial resolution as high as 5 ┼, the ?-FHD equations represent a useful semi-explicit solvent model for the modeling and simulation of complex systems, such as biomolecular machines and nanofluidics.
Computational fluid dynamic modeling of fluidized-bed polymerization reactors
Rokkam, Ram [Ames Laboratory
Polyethylene is one of the most widely used plastics, and over 60 million tons are produced worldwide every year. Polyethylene is obtained by the catalytic polymerization of ethylene in gas and liquid phase reactors. The gas phase processes are more advantageous, and use fluidized-bed reactors for production of polyethylene. Since they operate so close to the melting point of the polymer, agglomeration is an operational concern in all slurry and gas polymerization processes. Electrostatics and hot spot formation are the main factors that contribute to agglomeration in gas-phase processes. Electrostatic charges in gas phase polymerization fluidized bed reactors are known to influence the bed hydrodynamics, particle elutriation, bubble size, bubble shape etc. Accumulation of electrostatic charges in the fluidized-bed can lead to operational issues. In this work a first-principles electrostatic model is developed and coupled with a multi-fluid computational fluid dynamic (CFD) model to understand the effect of electrostatics on the dynamics of a fluidized-bed. The multi-fluid CFD model for gas-particle flow is based on the kinetic theory of granular flows closures. The electrostatic model is developed based on a fixed, size-dependent charge for each type of particle (catalyst, polymer, polymer fines) phase. The combined CFD model is first verified using simple test cases, validated with experiments and applied to a pilot-scale polymerization fluidized-bed reactor. The CFD model reproduced qualitative trends in particle segregation and entrainment due to electrostatic charges observed in experiments. For the scale up of fluidized bed reactor, filtered models are developed and implemented on pilot scale reactor.
Industrial Optimization Compact Course
Kirches, Christian
Industrial Optimization Compact Course and Challenge Workshop Optimization plays a crucial role of the processes are typically nonlinear and dyna- mic. Thus, complex dynamic optimization or optimal control in industrial optimization. February 17┬Ł20, 2014 ┬Ę9.00┬Ł17.00 IWR ┬ĘIm Neuenheimer Feld 368 ┬Ę69120 Heidelberg www
Nucleon-nucleon interaction in the chromodielectric soliton model: Dynamics
Pepin, S.; Stancu, F. [Universite de Liege, Institut de Physique B.5, Sart-Tilman, B-4000 Liege 1 (Belgium)] [Universite de Liege, Institut de Physique B.5, Sart-Tilman, B-4000 Liege 1 (Belgium); Koepf, W. [School of Physics and Astronomy, Raymond and Beverly Sackler Faculty of Exact Sciences, Tel Aviv University, 69978 Tel Aviv (Israel)] [School of Physics and Astronomy, Raymond and Beverly Sackler Faculty of Exact Sciences, Tel Aviv University, 69978 Tel Aviv (Israel); Wilets, L. [Department of Physics, FM-15, University of Washington, Seattle, Washington 98195 (United States)] [Department of Physics, FM-15, University of Washington, Seattle, Washington 98195 (United States)
The present work is an extension of a previous study of the nucleon-nucleon interaction based on the chromodielectric soliton model. The former approach was static, leading to an adiabatic potential. Here we perform a dynamical study in the framework of the generator coordinate method. In practice we derive an approximate Hill-Wheeler differential equation and obtain a local nucleon-nucleon potential as a function of a mean generator coordinate. This coordinate is related to an effective separation distance between the two nucleons by a Fujiwara transformation. This latter relationship is especially useful in studying the quark substructure of light nuclei. We investigate the explicit contribution of the one-gluon exchange part of the six-quark Hamiltonian to the nucleon-nucleon potential, and we find that the dynamics are responsible for a significant part of the short-range {ital N}-{ital N} repulsion. {copyright} {ital 1996 The American Physical Society.}
Ultrafast Structural Dynamics Inside Planar Phospholipid Multibilayer Model Cell Membranes Measured with 2D IR
Fayer, Michael D.
Ultrafast Structural Dynamics Inside Planar Phospholipid Multibilayer Model Cell Membranes Measured diffusion caused by the structural dynamics of the membrane from 200 fs to 200 ps as a function structure and an abrupt change in dynamics at 35% cholesterol. The dynamics are independent of cholesterol
MOGO: Model-Oriented Global Optimization of Petascale Applications
Malony, Allen D.; Shende, Sameer S.
The MOGO project was initiated under in 2008 under the DOE Program Announcement for Software Development Tools for Improved Ease-of-Use on Petascale systems (LAB 08-19). The MOGO team consisted of Oak Ridge National Lab, Argonne National Lab, and the University of Oregon. The overall goal of MOGO was to attack petascale performance analysis by developing a general framework where empirical performance data could be efficiently and accurately compared with performance expectations at various levels of abstraction. This information could then be used to automatically identify and remediate performance problems. MOGO was be based on performance models derived from application knowledge, performance experiments, and symbolic analysis. MOGO was able to make reasonable impact on existing DOE applications and systems. New tools and techniques were developed, which, in turn, were used on important DOE applications on DOE LCF systems to show significant performance improvements.
Explorations in combining cognitive models of individuals and system dynamics models of groups.
Backus, George A.
This report documents a demonstration model of interacting insurgent leadership, military leadership, government leadership, and societal dynamics under a variety of interventions. The primary focus of the work is the portrayal of a token societal model that responds to leadership activities. The model also includes a linkage between leadership and society that implicitly represents the leadership subordinates as they directly interact with the population. The societal model is meant to demonstrate the efficacy and viability of using System Dynamics (SD) methods to simulate populations and that these can then connect to cognitive models depicting individuals. SD models typically focus on average behavior and thus have limited applicability to describe small groups or individuals. On the other hand, cognitive models readily describe individual behavior but can become cumbersome when used to describe populations. Realistic security situations are invariably a mix of individual and population dynamics. Therefore, the ability to tie SD models to cognitive models provides a critical capability that would be otherwise be unavailable.
Mechanical reaction-diffusion model for bacterial population dynamics
Ngamsaad, Waipot
The effect of mechanical interaction between cells on the spreading of bacterial population was investigated in one-dimensional space. A nonlinear reaction-diffusion equation has been formulated as a model for this dynamics. In this model, the bacterial cells are treated as the rod-like particles that interact, when contacting each other, through the hard-core repulsion. The repulsion introduces the exclusion process that causes the fast diffusion in bacterial population at high density. The propagation of the bacterial density as the traveling wave front in long time behavior has been analyzed. The analytical result reveals that the front speed is enhanced by the exclusion process---and its value depends on the packing fraction of cell. The numerical solutions of the model have been solved to confirm this prediction.
A model of riots dynamics: shocks, diffusion and thresholds
Berestycki, Henri; Rodriguez, Nancy
We introduce and analyze several variants of a system of differential equations which model the dynamics of social outbursts, such as riots. The systems involve the coupling of an explicit variable representing the intensity of rioting activity and an underlying (implicit) field of social tension. Our models include the effects of exogenous and endogenous factors as well as various propagation mechanisms. From numerical and mathematical analysis of these models we show that the assumptions made on how different locations influence one another and how the tension in the system disperses play a major role on the qualitative behavior of bursts of social unrest. Furthermore, we analyze here various properties of these systems, such as the existence of traveling wave solutions, and formulate some new open mathematical problems which arise from our work.
The Third State of the Schelling Model of Residential Dynamics
Benenson, Itzhak
The Schelling model of segregation between two groups of residential agents (Schelling 1971; Schelling 1978) reflects the most abstract view of the non-economic forces of residential migrations: be close to people of 'your own'. The model assumes that the residential agent, located in the neighborhood where the fraction of 'friends' is less than a predefined threshold value F, tries to relocate to a neighborhood for which this fraction is above F. It is well known that for the equal groups, depending on F, Schelling's residential pattern converges either to complete integration (random pattern) or segregation. We investigate Schelling model pattern dynamics as dependent on F, the ratio of the group numbers and the size of the neighborhood and demonstrate that the traditional integrate-segregate dichotomy is incomplete. In case of unequal groups, there exists the wide interval of the F-values that entails the third persistent residential pattern, in which part of the majority population segregates, while the r...
Model for Aggregated Water Heater Load Using Dynamic Bayesian Networks
Vlachopoulou, Maria; Chin, George; Fuller, Jason C.; Lu, Shuai; Kalsi, Karanjit
The transition to the new generation power grid, or ōsmart gridö, requires novel ways of using and analyzing data collected from the grid infrastructure. Fundamental functionalities like demand response (DR), that the smart grid needs, rely heavily on the ability of the energy providers and distributors to forecast the load behavior of appliances under different DR strategies. This paper presents a new model of aggregated water heater load, based on dynamic Bayesian networks (DBNs). The model has been validated against simulated data from an open source distribution simulation software (GridLAB-D). The results presented in this paper demonstrate that the DBN model accurately tracks the load profile curves of aggregated water heaters under different testing scenarios.
Optimization of Electrical Production The production of electricity in France is optimized everyday
Ł French Model Ę n [ 200] existing power units Ł thermal nuclear fuel+coal 80% 3% Ł hydro-valleys 17Optimization of Electrical Production The production of electricity in France is optimized everyday values: 0, pmin, pinter, pmax) = amenable to dynamic programming Hydro-Valleys Ę Control variable = flow
Design of Optimal Dynamic Analyzers: Mathematical Aspects of Wave Pattern Recognition
V. P. Belavkin; V. P. Maslov
We give a review of the most important results on optimal tomography as mathematical wave-pattern recognition theory emerged in the 70's in connection with the problems of optimal estimation and hypothesis testing in quantum theory. In quantum theory such problems are sometimes referred as the problem of optimal measurement of an unknown quantum state, and are the main subject of the emerging mathematical theory of quantum statistics. We develop the results of quantum pattern recognition theory, most of which belong to VPB, further into the direction of wave, rather than particle statistical estimation and hypothesis testing theory, with the aim to include not only quantum matter waves but also classical wave patterns like optical and acoustic waves. We conclude that Hilbert space and operator methods developed in quantum theory are equally useful in the classical wave theory, as soon as the possible observations are restricted to only intensity distributions of waves, i.e. when the wave states are not the allowed observables, as they are not the observables of individual particles in the quantum theory. We show that all characteristic attributes of quantum theory such as complementarity, entanglement or Heisenberg uncertainty relations are also attributes of the generalized wave pattern recognition theory.
Gutowski, William J.; Prusa, Joseph M.; Smolarkiewicz, Piotr K.
This project had goals of advancing the performance capabilities of the numerical general circulation model EULAG and using it to produce a fully operational atmospheric global climate model (AGCM) that can employ either static or dynamic grid stretching for targeted phenomena. The resulting AGCM combined EULAG's advanced dynamics core with the "physics" of the NCAR Community Atmospheric Model (CAM). Effort discussed below shows how we improved model performance and tested both EULAG and the coupled CAM-EULAG in several ways to demonstrate the grid stretching and ability to simulate very well a wide range of scales, that is, multi-scale capability. We leveraged our effort through interaction with an international EULAG community that has collectively developed new features and applications of EULAG, which we exploited for our own work summarized here. Overall, the work contributed to over 40 peer-reviewed publications and over 70 conference/workshop/seminar presentations, many of them invited. 3a. EULAG Advances EULAG is a non-hydrostatic, parallel computational model for all-scale geophysical flows. EULAG's name derives from its two computational options: EULerian (flux form) or semi-LAGrangian (advective form). The model combines nonoscillatory forward-in-time (NFT) numerical algorithms with a robust elliptic Krylov solver. A signature feature of EULAG is that it is formulated in generalized time-dependent curvilinear coordinates. In particular, this enables grid adaptivity. In total, these features give EULAG novel advantages over many existing dynamical cores. For EULAG itself, numerical advances included refining boundary conditions and filters for optimizing model performance in polar regions. We also added flexibility to the model's underlying formulation, allowing it to work with the pseudo-compressible equation set of Durran in addition to EULAG's standard anelastic formulation. Work in collaboration with others also extended the demonstrated range of validity of soundproof models, showing that they are more broadly applicable than some had previously thought. Substantial testing of EULAG included application and extension of the Jablonowski-Williamson baroclinic wave test - an archetype of planetary weather - and further analysis of multi-scale interactions arising from collapse of temperature fronts in both the baroclinic wave test and simulations of the Held-Suarez idealized climate. These analyses revealed properties of atmospheric gravity waves not seen in previous work and further demonstrated the ability of EULAG to simulate realistic behavior over several orders of magnitude of length scales. Additional collaborative work enhanced capability for modeling atmospheric flows with adaptive moving meshes and demonstrated the ability of EULAG to move into petascale computing. 3b. CAM-EULAG Advances We have developed CAM-EULAG in collaboration with former project postdoc, now University of Cape Town Assistant Professor, Babatunde Abiodun. Initial study documented good model performance in aqua-planet simulations. In particular, we showed that the grid adaptivity (stretching) implemented in CAM-EULAG allows higher resolution in selected regions without causing anomalous behavior such as spurious wave reflection. We then used the stretched-grid version to analyze simulated extreme precipitation events in West Africa, comparing the precipitation and event environment with observed behavior. The model simulates fairly well the spatial scale and the interannual and intraseasonal variability of the extreme events, although its extreme precipitation intensity is weaker than observed. In addition, both observations and the simulations show possible forcing of extreme events by African easterly waves. 3c. Other Contributions Through our collaborations, we have made contributions to a wide range of outcomes. For research focused on terrestrial behavior, these have included (1) upwind schemes for gas dynamics, (2) a nonlinear perspective on the dynamics of the Madden-Julian Oscillation, (3) numerical realism of thermal co
Dynamic Modeling and Adaptive Neural-Fuzzy Control for Nonholonomic Mobile Manipulators Moving on a Slope 1 Dynamic Modeling and Adaptive Neural-Fuzzy Control for
Li, Yangmin
Dynamic Modeling and Adaptive Neural-Fuzzy Control for Nonholonomic Mobile Manipulators Moving on a Slope 1 Dynamic Modeling and Adaptive Neural-Fuzzy Control for Nonholonomic Mobile Manipulators Moving manipulator, neural-fuzzy control, nonholonomic. 1. INTRODUCTION Intelligent and autonomous mobile
Ice sheets and their dynamics Continuum thermo-mechanical model of a glacier
Cerveny, Vlastislav
Ice sheets and their dynamics Continuum thermo-mechanical model of a glacier Shallow Ice Approximation (SIA) SIA-I Iterative Improvement Technique Benchmarks Numerical modeling of ice-sheet dynamics and Cartography, Zdiby 1.6.2010 Ondej Soucek Ph.D. defense #12;Ice sheets and their dynamics Continuum thermo
Polymer dynamics in repton model at large fields Anatoly B. Kolomeisky
Polymer dynamics in repton model at large fields Anatoly B. Kolomeisky Department of Chemistry, Poland Received 22 October 2003; accepted 26 January 2004 Polymer dynamics at large fields in Rubinstein simple exclusion models are used to analyze the reptation dynamics of polymers. It is found
Barth, Eric J.
A LUMPED-PARAMETER DYNAMIC MODEL OF A THERMAL REGENERATOR FOR FREE-PISTON STIRLING ENGINES Mark the mass flow, piston dynamics, and control volume behavior inside a free-piston Stirling engine. A new model for a Stirling engine thermal regenerator that incorporates a dynamically changing temperature
A simple microscopic model for the dynamics of adhesive failure
Dominic Vella; L. Mahadevan
We consider a microscopic model for the failure of soft adhesives in tension based on ideas of bond rupture under dynamic loading. Focusing on adhesive failure under loading at constant velocity, we demonstrate that bi-modal curves of stress against strain may occur due to effects of finite polymer chain or bond length and characterise the loading conditions under which such bi-modal behaviour is observed. The results of this analysis are in qualitative agreement with experiments performed on unconfined adhesives in which failure does not occur by cavitation.
Validation of DWPF MOG dynamics model -- Phase 1
Choi, A.S.
The report documents the results of a study to validate the DWPF melter off-gas system dynamics model using the data collected during the Waste Qualification Runs in 1995. The study consisted of: (1) calibration of the model using one set of melter idling data, (2) validation of the calibrated model using three sets of steady feeding and one set of transient data, and (3) application of the validated model to simulate the melter overfeeding incident which took place on 7/5.95. All the controller tuning constants and control logic used in the validated model are identical to those used in the DCS in 1995. However, the model does not reflect any design and/or operational changes made in 1996 to alleviate the glass pouring problem. Based on the results of the overfeeding simulation, it is concluded that the actual feed rates during that incident were about 2.75 times the indicated readings and that the peak concentration of combustible gases remained below 15% of the lower flammable limit during the entire one-hour duration.
Designability, thermodynamic stability, and dynamics in protein folding: A lattice model study
Levine, Alex J.
Designability, thermodynamic stability, and dynamics in protein folding: A lattice model study Re October 1998 In the framework of a lattice-model study of protein folding, we investigate the interplay model. Lattice models have been widely used in the study of protein folding dynamics.2Ł8 The main
Adaptive Optimization and Systematic Probing of Infrastructure System Maintenance Policies under Model Uncertainty
Madanat, S M; Park, Sejung; Kuhn, K D
S. ?2002?. ōOptimal maintenance and repair policies inM. I. ?1987?. ōOptimal maintenance decisions for pavement?1997?. ōPontis: A system for maintenance optimization and
Optimal modeling of 1D azimuth correlations in the context of Bayesian inference
De Kock, Michiel B; Trainor, Thomas A
Analysis and interpretation of spectrum and correlation data from high-energy nuclear collisions is currently controversial because two opposing physics narratives derive contradictory implications from the same data-one narrative claiming collision dynamics is dominated by dijet production and projectile-nucleon fragmentation, the other claiming collision dynamics is dominated by a dense, flowing QCD medium. Opposing interpretations seem to be supported by alternative data models, and current model-comparison schemes are unable to distinguish between them. There is clearly need for a convincing new methodology to break the deadlock. In this study we introduce Bayesian Inference (BI) methods applied to angular correlation data as a basis to evaluate competing data models. For simplicity the data considered are projections of 2D angular correlations onto 1D azimuth from three centrality classes of 200 GeV Au-Au collisions. We consider several data models typical of current model choices, including Fourier seri...
Grossmann, Ignacio E.
, may be regarded as steady-state models. Hence, one important extension is the case of dynamic models-algebraic equation (DAE) models. Mathematical programming, and optimization in general, have found extensive use to LP and MILP problems. An extensive review of optimization models for process integration can be found