Modern Adaptive Fuzzy Control Systems

by Ardashir Mohammadzadeh, Mohammad Hosein Sabzalian, Chunwei Zhang, Oscar Castillo, Rathinasamy Sakthivel

Overview

This book explains the basic concepts, theory and applications of fuzzy systems in control in a simple unified approach with clear ex-amples and simulations in the MATLAB programming language. Fuzzy systems, especially, type-2 neuro-fuzzy systems, are now used extensively in various engineering fields for different purposes. In plain language, this book aims to practically explain fuzzy sys-tems and different methods of training and optimizing these systems. For this purpose, type-2 neuro-fuzzy systems are first analyzed along with various methods of training and optimizing these systems through implementation in MATLAB. These systems are then em-ployed to design adaptive fuzzy controllers. The authors aim at pre-senting all the well-known optimization methods clearly and code them in the MATLAB language.

Product Details

ISBN-13:	9783031173950
Publisher:	Springer International Publishing
Publication date:	11/03/2022
Series:	Studies in Fuzziness and Soft Computing , #421
Edition description:	1st ed. 2023
Pages:	157
Product dimensions:	6.10(w) x 9.25(h) x (d)

Table of Contents

Chapter 1: An Introduction to Fuzzy and Fuzzy Control Systems.- Chapter 2: Classification of Adaptive Fuzzy Controllers.- Chapter 3: Type-2 Fuzzy Systems.- Chapter 4: Training Interval Type-2 Fuzzy Systems Based on Error Backpropagation.

Editorial Reviews

The book is good for researchers to get to know different fuzzy systems and adaptive fuzzy controller design method.” (Zhiguang Feng, Mathematical Reviews, February, 2024)

From the Publisher