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Modern adaptive fuzzy control systems

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Modern adaptive fuzzy control systemsby Ardashir Mohammadzadeh ... [et al.].
其他作者:	Mohammadzadeh, Ardashir.
出版者:	Cham :Springer International Publishing :2023.
面頁冊數:	x, 157 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Fuzzy systems.
電子資源:	https://doi.org/10.1007/978-3-031-17393-6
ISBN:	9783031173936$q(electronic bk.)

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.273..

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$q(electronic bk.)

Standard No.: 10.1007/978-3-031-17393-6doiSubjects--Topical Terms:

182084
Fuzzy systems.

LC Class. No.: QA402

Dewey Class. No.: 511.313

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520 $a 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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