LMI approach to analysis and control of Takagi-Sugeno Fuzzy systems with time delay
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 int...
Enregistré dans:
| Auteurs principaux: | , , , |
|---|---|
| Format: | Livre numérique |
| Langue: | Anglais |
| Publié: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
2007.
Cham : Springer Nature |
| Collection: | Lecture Notes in Control and Information Sciences
351 |
| Sujets: | |
| Accès en ligne: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Note: |
Autre collaborateur : Yong He Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • LMI Approach to Analysis and Control of Takagi-Sugeno Fuzzy Systems with Time Delay, Texte imprimé, 9783540833185 • LMI Approach to Analysis and Control of Takagi-Sugeno Fuzzy Systems with Time Delay, Texte imprimé, 9783540495529 |
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| 001 | 939221 | ||
| 008 | 080410s2007 xx ||| |||| 00| 0 eng d | ||
| 009 | PPN123158613 | ||
| 020 | |a 9783540495543 | ||
| 041 | 0 | |a eng | |
| 082 | |a 620 | ||
| 100 | 1 | |a Lin, Chong, |d 1967- | |
| 245 | 1 | 0 | |a LMI approach to analysis and control of Takagi-Sugeno Fuzzy systems with time delay |c by Chong Lin, Qing-Guo Wang, Tong Heng Lee,... [et al.]. |
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c 2007. | ||
| 490 | 0 | |a Lecture Notes in Control and Information Sciences |v 351 |x 1610-7411 | |
| 500 | |a Autre collaborateur : Yong He | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 0 | |a Stability Analysis of T-S Fuzzy Systems -- Extension to Fuzzy Large-Scale Systems -- Stabilization Methods for T-S Fuzzy Systems -- Variable Structure Control for T-S Fuzzy Systems -- Observer-Based Fuzzy Control: Delay-Independent Method -- Observer-Based Fuzzy Control: Delay-Dependent Method -- Output Tracking Control for T-S Fuzzy Systems -- Fuzzy Filter Design for T-S Fuzzy Systems -- Descriptor Method for T-S Fuzzy Control Systems. | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. chttps://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a 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. | ||
| 650 | |a Commande automatique | ||
| 650 | |a Théorie de la commande | ||
| 650 | |a Systèmes à retard | ||
| 650 | |a Ingénierie | ||
| 700 | 1 | |a He, Yong. |4 aut | |
| 700 | 1 | |a Wang, Qing-Guo, |d 1957- |4 aut | |
| 700 | 1 | |a Lee, Tong Heng, |d 1958- |4 aut | |
| 776 | 0 | |t LMI Approach to Analysis and Control of Takagi-Sugeno Fuzzy Systems with Time Delay |b Texte imprimé |z 9783540833185 | |
| 776 | 0 | |t LMI Approach to Analysis and Control of Takagi-Sugeno Fuzzy Systems with Time Delay |b Texte imprimé |z 9783540495529 | |
| 856 | 4 | |q PDF |u https://doi.org/10.1007/978-3-540-49554-3 |z Accès sur la plateforme de l'éditeur | |
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