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Modern adaptive fuzzy control systems
~
Mohammadzadeh, Ardashir.
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Modern adaptive fuzzy control systems
Record Type:
Electronic resources : Monograph/item
Title/Author:
Modern adaptive fuzzy control systems/ by Ardashir Mohammadzadeh ... [et al.].
other author:
Mohammadzadeh, Ardashir.
Published:
Cham :Springer International Publishing : : 2023.,
Description:
x, 157 p. :ill., digital ;24 cm.
[NT 15003449]:
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.
Contained By:
Springer Nature eBook
Subject:
Fuzzy systems. -
Online resource:
https://doi.org/10.1007/978-3-031-17393-6
ISBN:
9783031173936
Modern adaptive fuzzy control systems
Modern adaptive fuzzy control systems
[electronic resource] /by Ardashir Mohammadzadeh ... [et al.]. - Cham :Springer International Publishing :2023. - x, 157 p. :ill., digital ;24 cm. - Studies in fuzziness and soft computing,v. 4211860-0808 ;. - Studies in fuzziness and soft computing ;v. 421..
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.
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.
ISBN: 9783031173936
Standard No.: 10.1007/978-3-031-17393-6doiSubjects--Topical Terms:
535881
Fuzzy systems.
LC Class. No.: QA402
Dewey Class. No.: 511.313
Modern adaptive fuzzy control systems
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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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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.
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Intelligent Technologies and Robotics (SpringerNature-42732)
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