Modern Adaptive Fuzzy Control Systems

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.

List 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.

Report

"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)

Product details

• Authors: Oscar Castillo, Fayez F. M. El-Sousy, Ardashir Mohammadzadeh, Mohammad Hosein Sabzalian, Rathinasamy Sakthivel, Chunwei Zhang
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 17.11.2023
• EAN: 9783031173950
• ISBN: 978-3-0-3117395-0
• No. of pages: 157
• Dimensions: 155 mm x 9 mm x 235 mm
• Illustrations: X, 157 p. 95 illus., 91 illus. in color.
• Series: Studies in Fuzziness and Soft Computing
• Subject: Natural sciences, medicine, IT, technology > Technology > General, dictionaries