Modern Adaptive Fuzzy Control Systems
Springer International Publishing (Verlag)
978-3-031-17392-9 (ISBN)
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.
Chapter 1: An Introduction to Fuzzy and Fuzzy Control Systems.- Chapter 2: Classification of Adaptive Fuzzy Controllers.- Chapter 3: Type-2 Fuzzy Systems.- Chapter 4: Training Interval Type-2 Fuzzy Systems Based on Error Backpropagation.
"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)
Erscheinungsdatum | 04.11.2022 |
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Reihe/Serie | Studies in Fuzziness and Soft Computing |
Zusatzinfo | X, 157 p. 95 illus., 91 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 408 g |
Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
Technik ► Elektrotechnik / Energietechnik | |
Schlagworte | Adaptive Fuzzy Control Systems • Computational Intelligence • Fuzzy Control Systems • MATLAB • Type-2 Fuzzy Systems |
ISBN-10 | 3-031-17392-9 / 3031173929 |
ISBN-13 | 978-3-031-17392-9 / 9783031173929 |
Zustand | Neuware |
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