TY  - BOOK
AU  - Mohammadzadeh,Ardashir
AU  - Sabzalian,Mohammad Hosein
AU  - Zhang,Chunwei
AU  - Castillo,Oscar
AU  - Sakthivel,Rathinasamy
AU  - El-Sousy,Fayez F.M.
ED  - SpringerLink (Online service)
TI  - Modern Adaptive Fuzzy Control Systems
T2  - Studies in Fuzziness and Soft Computing,
SN  - 9783031173936
AV  - Q342 
U1  - 006.3 23
PY  - 2023///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Computational intelligence
KW  - Control engineering
KW  - Artificial intelligence
KW  - Computational Intelligence
KW  - Control and Systems Theory
KW  - Artificial Intelligence
N1  - Acceso multiusuario; 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
N2  - 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
UR  - http://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-3-031-17393-6
ER  -