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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.
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Advances in Fuzzy Control
1998, Physica-Verlag HD, Imprint: Physica
electronic resource /
in English
3662110539 9783662110539
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December 25, 2021 | Edited by ImportBot | import existing book |
December 25, 2021 | Edited by ImportBot | import existing book |
June 28, 2019 | Created by MARC Bot | Imported from Internet Archive item record |