Intelligent Control Design and MATLAB Simulation

This book offers a comprehensive introduction to intelligent control system design, using MATLAB simulation to verify typical intelligent controller designs. It also uses real-world case studies that present the results of intelligent controller implementations to illustrate the successful application of the theory. Addressing the need for systematic design approaches to intelligent control system design using neural network and fuzzy-based techniques, the book introduces the concrete design method and MATLAB simulation of intelligent control strategies; offers a catalog of implementable intelligent control design methods for engineering applications; provides advanced intelligent controller design methods and their stability analysis methods; and presents a sample simulation and Matlab program for each intelligent control algorithm.

The main topics addressed are expert control, fuzzy logic control, adaptive fuzzy control, neural network control, adaptive neural control and intelligent optimization algorithms, providing several engineering application examples for each method.

Table of Contents

Chapter 1 Introduction To Intelligent Control
Chapter 2 Expert Pid Control
Chapter 3 Foundation Of Fuzzy Mathematics
Chapter 4 Fuzzy Logic Control
Chapter 5 Fuzzy T-S Modeling And Control
Chapter 6 Adaptive Fuzzy Control
Chapter 7 Neural Networks
Chapter 8 Adaptive Rbf Neural Network Control
Chapter 9 Adaptive Sliding Mode Rbf Neural Network Control
Chapter 10 Discrete Rbf Neural Network Control
Chapter 11 Intelligent Search Algorithm Design
Chapter 12 Iterative Learning Control And Applications