Wow! eBook
Modern Adaptive Fuzzy Control Systems: 421 1st ed. 2023 Edition
Author(s): Ardashir Mohammadzadeh (Author), Mohammad Hosein Sabzalian (Author), Chunwei Zhang (Author), Oscar Castillo (Author), Rathinasamy Sakthivel (Author), Fayez F. M. El-Sousy (Author)
- Publisher: Springer
- Publication Date: 4 Nov. 2023
- Edition: 1st ed. 2023
- Language: English
- Print length: 167 pages
- ISBN-10: 3031173953
- ISBN-13: 9783031173950
Book Description
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.
Editorial Reviews
Review
“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 Back Cover
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.
