Fuzzy Control and Filter Design for Uncertain Fuzzy Systems
Most real physical systems are nonlinear in nature. Control and ?ltering of nonlinear systems are still open problems due to their complexity natures. These problem becomes more complex when the system s parameters are - certain. A common approach to designing a controller/?lter for an uncertain non...
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| Outros Autores: | , |
| Formato: | Livre numérique |
| Idioma: | Anglais |
| Publicado em: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| coleção: | Lecture Notes in Control and Information Sciences
347 |
| Assuntos: | |
| Acesso em linha: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
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Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Fuzzy control and filter design for uncertain fuzzy systems, Wudhichai Assawinchaichote, Sing Kiong Nguang, Peng Shi, Berlin, Springer, 2006, 1 vol. (XI-176 p.), Lecture notes in control and information sciences, 3-540-37011-0 |
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| 009 | PPN123137128 | ||
| 020 | |a 9783540370123 | ||
| 041 | 0 | |a eng | |
| 082 | |a 620 | ||
| 100 | 1 | |a Assawinchaichote, Wudhichai. | |
| 245 | 1 | 0 | |a Fuzzy Control and Filter Design for Uncertain Fuzzy Systems |c edited by Wudhichai Assawinchaichote, Sing Kiong Nguang, Peng Shi. |
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Lecture Notes in Control and Information Sciences |v 347 |x 0170-8643 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a UNCERTAIN FUZZY SYSTEMS Uncertain Fuzzy Systems Robust ?? Fuzzy Control Design for Uncertain Fuzzy Systems Robust ?? Fuzzy Filter Design for Uncertain Fuzzy Systems Robust ?? Fuzzy Control Design for Uncertain Fuzzy Markovian Jump Systems Robust ?? Fuzzy Filter Design for Uncertain Fuzzy Markovian Jump Systems UNCERTAIN FUZZY SINGULARLY PERTURBED SYSTEMS Uncertain Fuzzy Singularly Perturbed Systems Robust ?? Fuzzy Control Design for Uncertain Fuzzy Singularly Perturbed Systems Robust ?? Fuzzy Filter Design for Uncertain Fuzzy Singularly Perturbed Systems Robust ?? Fuzzy Control Design for Uncertain Fuzzy Singularly Perturbed Systems with Markovian Jumps Robust ?? Fuzzy Filter Design for Uncertain Fuzzy Singularly Perturbed Systems with Markovian Jumps | |
| 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. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a Most real physical systems are nonlinear in nature. Control and ?ltering of nonlinear systems are still open problems due to their complexity natures. These problem becomes more complex when the system s parameters are - certain. A common approach to designing a controller/?lter for an uncertain nonlinear system is to linearize the system about an operating point, and uses linear control theory to design a controller/?lter. This approach is successful when the operating point of the system is restricted to a certain region. H- ever, when a wide range operation of the system is required, this method may fail. ThisbookpresentsnewnovelmethodologiesfordesigningrobustH fuzzy ? controllers and robustH fuzzy ?lters for a class of uncertain fuzzy systems ? (UFSs), uncertain fuzzy Markovian jump systems (UFMJSs), uncertain fuzzy singularly perturbed systems (UFSPSs) and uncertain fuzzy singularly p- turbed systems with Markovian jumps (UFSPS MJs). These new meth- ologies provide a framework for designing robustH fuzzy controllers and ? robustH fuzzy ?lters for these classes of systems based on a Tagaki-Sugeno ? (TS) fuzzy model. Solutions to the design problems are presented in terms of linear matrix inequalities (LMIs). To investigate the design problems, we ?rst describe a class of uncertain nonlinear systems (UNSs), uncertain nonlinear Markovianjumpsystems(UNMJSs),uncertainnonlinearsingularlyperturbed systems(UNSPSs)anduncertainnonlinearsingularlyperturbedsystemswith Markovian jumps (UNSPS MJs) by a TS fuzzy system with parametric - certainties and with/without Markovian jumps. Then, based on an LMI - proach, we develop a technique for designing robustH fuzzy controllers and ? robustH fuzzy ?lters such that a given prescribed performance index is ? guaranteed | ||
| 650 | |a Intelligence artificielle | ||
| 650 | |a Commande automatique | ||
| 650 | |a Théorie de la commande | ||
| 650 | |a Systèmes flous | ||
| 650 | |a Ingénierie | ||
| 700 | 1 | |a Shi, Peng, |d 1958- |4 pbd | |
| 700 | 1 | |a Nguang, Sing Kiong. |4 pbd | |
| 776 | 0 | |0 110811933 |t Fuzzy control and filter design for uncertain fuzzy systems |f Wudhichai Assawinchaichote, Sing Kiong Nguang, Peng Shi |c Berlin |n Springer |d 2006 |p 1 vol. (XI-176 p.) |s Lecture notes in control and information sciences |z 3-540-37011-0 | |
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| 856 | 4 | |u https://revue-sommaire.istex.fr/ark:/67375/8Q1-QFPZT2PW-M |z Accès sur la plateforme Istex | |
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| 997 | |0 938655 |1 Livre numérique |a Ressource numérique |b INSA |b ENSA |c 0/Bibliothèque numérique/ |c 1/Bibliothèque numérique/Autre ressource numérique/ | ||