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Advances in Fuzzy Control

Advances in Fuzzy Control

Assoc. Prof. Dimiter Driankov, Dr.-Ing. Rainer Palm (auth.), Assoc. Prof. Dimiter Driankov, Dr.-Ing. Rainer Palm (eds.)
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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 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.

Année:
1998
Edition:
1
Editeur::
Physica-Verlag Heidelberg
Langue:
english
Pages:
421
ISBN 10:
3790818860
ISBN 13:
9783790818864
Collection:
Studies in Fuzziness and Soft Computing 16
Fichier:
PDF, 12.29 MB
IPFS:
CID , CID Blake2b
english, 1998
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