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Présentation Modern Adaptive Fuzzy Control Systems de Mohammadzadeh, Ardashir Format Broché
- Livre Littérature Générale
Résumé :
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.
Biographie:
Rasoul Sabetahd was born in East Azerbaijan, Shabestar, Iran. He received B.S., M.S., and Ph.D. degrees in the field of civil-structural engineering in 2007, 2010, and 2022, respectively. He is currently an assistant professor at the Islamic Azad University of Sofian Branch, East Azerbaijan, Sofian, Iran. He has published many papers in most reputed journals. Dr. Sabetahd is the reviewer of several journals. His research interests include soft computing, control of structures equipped with intelligent systems, and fuzzy logic systems. Ardashir Mohammadzadeh received his B.Sc. in July 2011 from Sahand University of Technology, Tabriz, Iran...
Sommaire:
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.
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