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

Editore: Springer, 2022

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Dati bibliografici

• Titolo: Modern Adaptive Fuzzy Control Systems (Studies in Fuzziness and Soft Computing, 421)
• Editore: Springer
• Data di pubblicazione: 2022
• Lingua: Inglese
• ISBN 10: 3031173929
• ISBN 13: 9783031173929
• Rilegatura: Rilegato
• Condizione: New

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Riassunto

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.