Modern Adaptive Fuzzy Control Systems
Ardashir Mohammadzadeh · Mohammad Hosein Sabzalian · Chunwei Zhang · Oscar Castillo · Rathinasamy Sakthivel · Fayez F. M. El-Sousy
Nob 2022 · Studies in Fuzziness and Soft Computing Aklat 421 · Springer Nature
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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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