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LMI Approach to Analysis and Control of Takagi-Sugeno Fuzzy Systems with Time Delay (Lecture Notes in Control and Information Sciences) - Couverture souple
Synopsis
SinceinitiatedbyLot?A. Zadehin1965, fuzzysettheoryhastriggeredacons- erably large body of areas to blossom. A fuzzy system is, in a very broad sense, anyfuzzylogic-basedsystemwherefuzzylogiccanbeusedeither asthebasisfor the representation of di?erent forms of system knowledge or the model for the interactions and relationships among the system variables. Fuzzy systems have proven to be an important tool for modeling complex systems for which, due to complexity or imprecision, classical tools are unsuccessful. There have been diverse ?elds of applications of fuzzy technology from medicine to management, from engineering to behavioral science, from vehicle control to computational linguistics, and so on. Fuzzy modeling is a conjunction to understand the s- tem's behavior and build useful mathematical models. Di?erent types of fuzzy models have been proposed in the literature, among which the Takagi-Sugeno (T-S) fuzzy model is a rule-based one suitable for the accurate approximation and identi?cation of a wide class of nonlinear systems. There has been an - creasing amount of work on analysis and synthesis of fuzzy systems based on T-S fuzzy models. Since 2000, T-S fuzzy model approach has been extended to tackleanalysisandcontrolproblemsofnonlinear systemswith time delay. So far extensive results have been presented for investigating T-S fuzzy systems with time delay, many of which adopt an easy and popular scheme, say, linear matrix inequality (LMI) based method. However, there lacks of a monograph in this direction to provide the state-of-the-art of coverage of this new growing area.
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Lmi Approach To Analysis And Control Of Takagi-sugeno Fuzzy Systems With Time Delay
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LMI Approach to Analysis and Control of Takagi-Sugeno Fuzzy Systems with Time Delay
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Springer Berlin Heidelberg, 2007
ISBN 10 : 3540495525
ISBN 13 : 9783540495529
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Couverture souple
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LMI Approach to Analysis and Control of Takagi-Sugeno Fuzzy Systems with Time Delay
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LMI Approach to Analysis and Control of Takagi-Sugeno Fuzzy Systems with Time Delay
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ISBN 10 : 3540495525
ISBN 13 : 9783540495529
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Kartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Up-to-date developments in the analysis and control area for nonlinear time-delay systems using T-S fuzzy model approachComprehensive monograph on T-S fuzzy systems with time delayThis book provides the latest developments in the. N° de réf. du vendeur 4891360
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LMI Approach to Analysis and Control of Takagi-Sugeno Fuzzy Systems with Time Delay
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LMI Approach to Analysis and Control of Takagi-Sugeno Fuzzy Systems with Time Delay
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LMI Approach to Analysis and Control of Takagi-Sugeno Fuzzy Systems with Time Delay (Lecture Notes in Control and Information Sciences, 351)
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LMI Approach to Analysis and Control of Takagi-Sugeno Fuzzy Systems with Time Delay
Edité par
Springer Berlin Heidelberg, 2007
ISBN 10 : 3540495525
ISBN 13 : 9783540495529
Neuf
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - SinceinitiatedbyLot A. Zadehin1965,fuzzysettheoryhastriggeredacons- erably large body of areas to blossom. A fuzzy system is, in a very broad sense, anyfuzzylogic-basedsystemwherefuzzylogiccanbeusedeither asthebasisfor the representation of di erent forms of system knowledge or the model for the interactions and relationships among the system variables. Fuzzy systems have proven to be an important tool for modeling complex systems for which, due to complexity or imprecision, classical tools are unsuccessful. There have been diverse elds of applications of fuzzy technology from medicine to management, from engineering to behavioral science, from vehicle control to computational linguistics, and so on. Fuzzy modeling is a conjunction to understand the s- tem's behavior and build useful mathematical models. Di erent types of fuzzy models have been proposed in the literature, among which the Takagi-Sugeno (T-S) fuzzy model is a rule-based one suitable for the accurate approximation and identi cation of a wide class of nonlinear systems. There has been an - creasing amount of work on analysis and synthesis of fuzzy systems based on T-S fuzzy models. Since 2000, T-S fuzzy model approach has been extended to tackleanalysisandcontrolproblemsofnonlinear systemswith time delay. So far extensive results have been presented for investigating T-S fuzzy systems with time delay, many of which adopt an easy and popular scheme, say, linear matrix inequality (LMI) based method. However, there lacks of a monograph in this direction to provide the state-of-the-art of coverage of this new growing area. N° de réf. du vendeur 9783540495529
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LMI Approach to Analysis and Control of Takagi-Sugeno Fuzzy Systems with Time Delay
Edité par
Springer Berlin Heidelberg Feb 2007, 2007
ISBN 10 : 3540495525
ISBN 13 : 9783540495529
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book provides the latest developments in the analysis and control of nonlinear time-delay systems using T-S fuzzy model approach. It presents a comprehensive, up-to-date, and detailed treatment of many interesting topics, such as stability analysis, stabilization, fuzzy variable structure control, fuzzy tracking control, fuzzy observer design, and filter design for T-S fuzzy systems with time delay. 228 pp. Englisch. N° de réf. du vendeur 9783540495529
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