1. A dynamic system for developing and using real time applications utilizing stochastic compute time algorithms in the form of constrained optimization techniques under feedback control, the system comprising: a sensing subsystem having a plurality of detectors for receiving detector data; a control subsystem comprising: at least one system state module for inferring an actual system state from said detector data, wherein said actual system state is expressed in constraints, inferring a desired system state from said desired state and constraints, generating a statistical description of the dynamic system utilizing the difference between said actual system state and said desired system state, and providing feedback control comprising updating said statistical description with a next set of detector data; at least one state action module for developing a desired control strategy based on said statistical description, comprising utilizing constraint optimization techniques determining at least one control signal to issue for said desired control strategy, and at least one execution module for executing said control signals in a real time application; communication means for transmitting output information from said plurality of detectors to said control subsystem; at least one application module; an actuation subsystem having a plurality of actuators; and communication means for transmitting execution instructions from said execution module to said plurality of actuators.