Articoli correlati a Advances in Fuzzy Control: 16
Sinossi
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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Contenuti
Stability Analysis of Fuzzy Models: Global Stability Analysis of Second-Order Fuzzy Systems; Quadratic Stability of Continuous-Time Fuzzy Control Systems; Fuzzy Stability Analysis of Fuzzy Systems: A Lyapunov Approach.- Inverse Fuzzy Models: Inverse Fuzzy Process Models for Robust Hybrid Control; Inverse Fuzzy Model Based Predictive Control.- Adaptive Fuzzy Control: Stable Adaptive Control Using Fuzzy Systems and Neural Networks; An Adaptive Fuzzy Sliding-Mode Controller; Discrete-Time Adaptive Fuzzy Logic Control of Feedback Linearizable Systems; Fuzzy Model Reference Learning Control.- Predictive Fuzzy Control: Development of a Fuzzy Relational-Based Predictive Controller; A Simplified Fuzzy Relational Structure for Adaptive Predictive Control; Predictive Control Based on a Fuzzy Model.- Gain Scheduled Fuzzy Control: Transient Performance, Robustness and Off-Equilibrium Linearisation in Fuzzy Gain Scheduled Control; Design of Fuzzy Gain Schedulers.
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Advances in Fuzzy Control
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. State-of-the-art description of the fuzzy approach to modern nonlinear controlShows clearly the relationship between fuzzy and conventional control and the variety of ways in which the two enrich eachotherModel-based fuzzy control uses a given conve. Codice articolo 5221839
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Advances in Fuzzy Control
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Physica-Verlag HD Jul 2013, 2013
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 432 pp. Englisch. Codice articolo 9783662110539
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Codice articolo 9783662110539
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Advances in Fuzzy Control
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Physica-Verlag HD Jul 2013, 2013
ISBN 10: 3662110539
ISBN 13: 9783662110539
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Physica Verlag, Tiergartenstr. 17, 69121 Heidelberg 432 pp. Englisch. Codice articolo 9783662110539
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Advances in Fuzzy Control (Studies in Fuzziness and Soft Computing)
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Advances in Fuzzy Control (Studies in Fuzziness and Soft Computing (16))
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