Overview

This research monograph presents the fundamentals of fuzzy control theory and recent results in extending fuzzy control theory for multivariable and large scale systems. Among the topics presented are: the problem of dimensional reduction of fuzzy relations; the possibilities for decomposing multivariable systems for the purpose of distributed fuzzy control; a method of two-level hierarchical fuzzy control, based on local and global control components; methods of decentralized fuzzy control by different types of spatial decomposition of the original system into subsystems, and, analogously, methods of multilayer fuzzy control on the basis of several types of temporal decomposition of the original system into layers. The theoretical results are illustrated by numerical examples and two case studies. It is shown that the number of fuzzy relations, respectively on-line computations, can be significantly reduced and in this way real time control implementation can be facilitated. The book is written using a structured method-algorithm-example format, and offers solutions to existing problems, as well as pointing a way to further investigations. Audience: This volume will be of interest to graduate students and researchers in the field of applied mathematics, industrial engineering and informatics.

Full Product Details

Author:   Alexander Gegov
Publisher:   Springer
Imprint:   Springer
Edition:   Softcover reprint of hardcover 1st ed. 1996
Volume:   6
Dimensions:   Width: 15.50cm , Height: 1.00cm , Length: 23.50cm
Weight:   0.454kg
ISBN:  

9789048146529

ISBN 10:   9048146526
Pages:   186
Publication Date:   05 December 2010
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Out of stock  
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Table of Contents

1. Introduction.- 2. Dimensional reduction of fuzzy relations in multivariable control systems.- 3. Decomposition of multivariable systems for distributed fuzzy control.- 4. Hierarchical fuzzy control of multivariable systems.- 5. Decentralized fuzzy control of multivariable systems by passive decomposition.- 6. Decentralized fuzzy control of multivariable systems by active decomposition.- 7. Decentralized fuzzy control of multivariable systems by direct decomposition.- 8. Multilayer fuzzy control of multivariable systems by passive decomposition.- 9. Multilayer fuzzy control of multivariable systems by active decomposition.- 10. Multilayer fuzzy control of multivariable systems by direct decomposition.- 11. Distributed fuzzy fault diagnosis in multivariable control systems.- 12. Conclusions.- References.

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