Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1403
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dc.contributorDepartment of Electrical Engineering-
dc.creatorLeung, FHF-
dc.creatorLam, HK-
dc.creatorTam, PKS-
dc.date.accessioned2014-12-11T08:26:22Z-
dc.date.available2014-12-11T08:26:22Z-
dc.identifier.isbn0-7803-4863-X-
dc.identifier.urihttp://hdl.handle.net/10397/1403-
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.rights© 1998 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en_US
dc.rightsThis material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.en_US
dc.subjectClosed loop control systemsen_US
dc.subjectFeedback controlen_US
dc.subjectFunctionsen_US
dc.subjectLyapunov methodsen_US
dc.subjectMathematical modelsen_US
dc.subjectNonlinear control systemsen_US
dc.subjectParameter estimationen_US
dc.subjectRobustness (control systems)en_US
dc.subjectSystem stabilityen_US
dc.titleLyapunov function based design of robust fuzzy controllers for uncertain nonlinear systems : distinct Lyapunov functionsen_US
dc.typeConference Paperen_US
dc.description.otherinformationAuthor name used in this publication: F. H. F. Leungen_US
dc.description.otherinformationAuthor name used in this publication: P. K. S. Tamen_US
dcterms.abstractThis paper presents the stability and robustness analyses of an uncertain fuzzy control system which is formed by an uncertain fuzzy plant model and a fuzzy controller. The fuzzy plant model with parameter uncertainties describes exactly the behavior of an uncertain nonlinear plant. Three design approaches are introduced to close the feedback loop. Based on the Lyapunov's stability theory, new stability criteria and robust areas are to be derived without resorting to a common Lyapunov function. An application example on stabilizing an uncertain nonlinear mass-spring-damper system will be given to illustrate the merit.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationThe 1998 IEEE International Conference on Fuzzy Systems proceedings : IEEE World Congress on Computational Intelligence : May 4-May 9, 1998, Anchorage, Alaska, USA, p. 577-582-
dcterms.issued1998-
dc.identifier.isiWOS:000074668800102-
dc.identifier.scopus2-s2.0-0031630961-
dc.relation.ispartofbookThe 1998 IEEE International Conference on Fuzzy Systems proceedings : IEEE World Congress on Computational Intelligence : May 4-May 9, 1998, Anchorage, Alaska, USA-
dc.relation.conferenceIEEE International Conference on Fuzzy Systems [FUZZ]-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
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