title: FUZZY CONTROL AND FUZZY SYSTEMS (Electronic & electrical engineering research studies)
author: Pedrycz
description: The book is extremely relevant, authoritatively written, very timely and of most benefit to new researchers in fuzzy control; the book is a must for all control engineering laboratories. (AUTOMATICA, ON THE FIRST EDITION) edition) This book is one of the best educational books on fuzzy systems and fuzzy control offering a deep and wide coverage of the field........ Groups and readers working on fuzzy theory and applications will benefit a lot by this book. Teachers will find in the book an excellent and complete engineering way of presenting to their students the material of fuzzy sets, systems and control<BR>Journal of Intelligent and Robotic Systems <BR>While the book has been written mainly for the control engineer, cognitive scientists and applied psychologists should be aware of its contents<BR>Journal of Systems and Control Engineering<BR>ok is extremely relevant, authoritatively written, very timely and of most benefit to new researchers in fuzzy control; the book is a must for all control engineering laboratories. (AUTOMATICA, ON THE FIRST EDITION) edition) This book is one of the best educational books on fuzzy systems and fuzzy control offering a deep and wide coverage of the field........ Groups and readers working on fuzzy theory and applications will benefit a lot by this book. Teachers will find in the book an excellent and complete engineering way of presenting to their students the material of fuzzy sets, systems and control<BR>Journal of Intelligent and Robotic Systems <BR>While the book has been written mainly for the control engineer, cognitive scientists and applied psychologists should be aware of its contents<BR>Journal of Systems and Control Engineering
zlib_text: energies
  Article
  A Novel Technique for Load Frequency Control
  of Multi-Area Power Systems
  Ali Dokht Shakibjoo 1, Mohammad Moradzadeh 1,2,* and Seyed Zeinolabedin Moussavi 1
  and Lieven Vandevelde 2
  1
  Electrical Engineering Department, Shahid Rajaee Teacher Training University, Tehran 1678815811, Iran;
  a.shakibjoo@sru.ac.ir (A.D.S.); smoussavi@sru.ac.ir (S.Z.M.)
  2
  Department of Electromechanical, Systems and Metal Engineering, Ghent University, 9052 Ghent, Belgium;
  lieven.vandevelde@ugent.be
  *
  Correspondence: m.moradzadeh@sru.ac.ir or mohammad.moradzadeh@ugent.be; Tel.: +98-21-22970006
  Received: 12 March 2020; Accepted: 20 April 2020; Published: 25 April 2020
  ����������
  �������
  Abstract: In this paper, an adaptive type-2 fuzzy controller is proposed to control the load frequency
  of a two-area power system based on descending gradient training and error back-propagation.
  The dynamics of the system are completely uncertain. The multilayer perceptron (MLP) artiﬁcial
  neural network structure