Modern Adaptive Fuzzy Control Systems: Studies in Fuzziness and Soft Computing, cartea 421
Autor Ardashir Mohammadzadeh, Mohammad Hosein Sabzalian, Chunwei Zhang, Oscar Castillo, Rathinasamy Sakthivel, Fayez F. M. El-Sousyen Limba Engleză Hardback – 3 noi 2022
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Specificații
ISBN-13: 9783031173929
ISBN-10: 3031173929
Pagini: 157
Ilustrații: X, 157 p. 95 illus., 91 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.43 kg
Ediția:1st ed. 2023
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Fuzziness and Soft Computing
Locul publicării:Cham, Switzerland
ISBN-10: 3031173929
Pagini: 157
Ilustrații: X, 157 p. 95 illus., 91 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.43 kg
Ediția:1st ed. 2023
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Fuzziness and Soft Computing
Locul publicării:Cham, Switzerland
Cuprins
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.
Recenzii
“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)
Textul de pe ultima copertă
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.
Caracteristici
Practically explains fuzzy systems and different methods of training and optimizing these systems Demonstrates the analysis and optimization of type-2 neuro-fuzzy systems Presents all well-known optimization methods clearly and shows how to code them in MATLAB