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Modern Adaptive Fuzzy Control Systems (Studies In Fuzziness And Soft Computing, 421)

Modern Adaptive Fuzzy Control Systems (Studies In Fuzziness And Soft Computing, 421)

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Product Details
Author:
Ardashir Mohammadzadeh, Mohammad Hosein Sabzalian, Chunwei Zhang, Oscar Castillo, Rathinasamy Sakthivel, Fayez F. M. El-Sousy
Publisher:
Springer
Publication Date:
Nov 03, 2022
Number of pages:
167 pages
Language:
English
Binding:
Hardcover
ISBN-10:
3031173929
ISBN-13:
9783031173929

Overview

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.


  • | Author: Ardashir Mohammadzadeh, Mohammad Hosein Sabzalian, Chunwei Zhang, Oscar Castillo, Rathinasamy Sakthivel, Fayez F. M. El-Sousy
  • | Publisher: Springer
  • | Publication Date: Nov 03, 2022
  • | Number of Pages: 167 pages
  • | Language: English
  • | Binding: Hardcover
  • | ISBN-10: 3031173929
  • | ISBN-13: 9783031173929

Categories

Hardcover/Technology & Engineering

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