Modern Adaptive Fuzzy Control Systems (Studies in Fuzziness and Soft Computing, 421)

Mohammadzadeh, Ardashir; Sabzalian, Mohammad Hosein; Zhang, Chunwei; Castillo, Oscar; Sakthivel, Rathinasamy; El-Sousy, Fayez F. M.

ISBN 10: 3031173929 ISBN 13: 9783031173929

Editorial: Springer, 2022

Idioma: Ingl�s

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Detalles bibliogr�ficos

T�tulo: Modern Adaptive Fuzzy Control Systems (Studies in Fuzziness and Soft Computing, 421)
Editor: Springer
Fecha de publicaci�n: 2022
Idioma: Ingl�s
ISBN 10: 3031173929
ISBN 13: 9783031173929
Encuadernaci�n: Encuadernaci�n de tapa dura
Estado: New

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Sinopsis

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.

De la contraportada

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.

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