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Advances in Fuzzy Control
     

Advances in Fuzzy Control

by Dimiter Driankov (Editor), Rainer Palm (Editor)
 

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Model-based fuzzy control uses a given conventional or a fuzzy open loop of the plant under control in order to derive the set of fuzzy if-then rules constituting the corresponding fuzzy controller. Furthermore, of central interest are the consequent stability, performance, and robustness analysis of the resulting closed loop system involving a conventional model

Overview

Model-based fuzzy control uses a given conventional or a fuzzy open loop of the plant under control in order to derive the set of fuzzy if-then rules constituting the corresponding fuzzy controller. Furthermore, of central interest are the consequent stability, performance, and robustness analysis of the resulting closed loop system involving a conventional model and a fuzzy controller, or a fuzzy model and a fuzzy controller. The major objective of the model-based fuzzy control is to use the full available range of existing linear and nonlinear design of such fuzzy controllers which have better stability, performance, and robustness properties than the corresponding non-fuzzy controllers designed by the use of these same techniques.

Product Details

ISBN-13:
9783662110539
Publisher:
Physica-Verlag HD
Publication date:
07/28/2013
Series:
Studies in Fuzziness and Soft Computing Series , #16
Edition description:
Softcover reprint of the original 1st ed. 1998
Pages:
421
Product dimensions:
6.10(w) x 9.25(h) x 0.03(d)

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