Modern Adaptive Fuzzy Control Systems: 421 (Studies in Fuzziness and Soft Computing)
Mohammadzadeh, Ardashir; Sabzalian, Mohammad Hosein; Zhang, Chunwei; Castillo, Oscar; Sakthivel, Rathinasamy; El-Sousy, Fayez F. M.
Language: English
Published by Springer, 2022
- Hardcover
- New
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- Title
- Modern Adaptive Fuzzy Control Systems: 421 (Studies in Fuzziness and Soft Computing)
- Author
- Mohammadzadeh, Ardashir; Sabzalian, Mohammad Hosein; Zhang, Chunwei; Castillo, Oscar; Sakthivel, Rathinasamy; El-Sousy, Fayez F. M.
- Publisher
- Springer
- Publication year
- 2022
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 3031173929
- ISBN 13
- 9783031173929
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.
"Synopsis" may belong to another edition of this title.
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.
"About the title" may belong to another edition of this title.
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