Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1381
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dc.contributorDepartment of Electrical Engineering-
dc.creatorLam, HK-
dc.creatorLeung, FHF-
dc.creatorTam, PKS-
dc.date.accessioned2014-12-11T08:26:22Z-
dc.date.available2014-12-11T08:26:22Z-
dc.identifier.isbn0-7803-3796-4-
dc.identifier.urihttp://hdl.handle.net/10397/1381-
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.rights© 1997 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.subjectControl system analysisen_US
dc.subjectMathematical modelsen_US
dc.subjectMatrix algebraen_US
dc.subjectNonlinear control systemsen_US
dc.subjectParameter estimationen_US
dc.subjectRobustness (control systems)en_US
dc.subjectSystem stabilityen_US
dc.titleStable and robust fuzzy control for uncertain nonlinear systems based on a grid-point approachen_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 uncertain nonlinear control systems. To proceed with the analysis, the uncertain nonlinear system is represented by a fuzzy model with uncertainties. Based on this model, under a single-grid-point (SGP) approach, a fuzzy controller is designed to close the feedback loop. A simple stability criterion is derived by estimating the norm of the system parameters and the matrix measure, and a robust area in the uncertain parameter space is defined. The design methodology of a multiple-grid-point (MGP) fuzzy controller for nonlinear systems subjected to large parameter uncertainties is developed based on the analysis results of the SGP approach.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationProceedings of the sixth IEEE International Conference on Fuzzy Systems : Barcelona, Spain, July 1-5, 1997, p. 87-92-
dcterms.issued1997-
dc.identifier.isiWOS:A1997BJ56L00015-
dc.identifier.scopus2-s2.0-0030711290-
dc.relation.ispartofbookProceedings of the sixth IEEE International Conference on Fuzzy Systems : Barcelona, Spain, July 1-5, 1997-
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
dc.description.oaCategoryVoR alloweden_US
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