Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1445
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dc.contributorDepartment of Electronic and Information Engineering-
dc.creatorLam, HKen_US
dc.creatorLeung, FHFen_US
dc.creatorTam, PKSen_US
dc.date.accessioned2014-12-11T08:28:10Z-
dc.date.available2014-12-11T08:28:10Z-
dc.identifier.issn1083-4427en_US
dc.identifier.urihttp://hdl.handle.net/10397/1445-
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.rights© 2000 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.subjectFuzzy controlen_US
dc.subjectNonlinear system robustnessen_US
dc.subjectParameter uncertaintyen_US
dc.subjectStabilityen_US
dc.titleStable and robust fuzzy control for uncertain nonlinear systemsen_US
dc.typeJournal/Magazine Articleen_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
dc.identifier.spage825en_US
dc.identifier.epage840en_US
dc.identifier.volume30en_US
dc.identifier.issue6en_US
dc.identifier.doi10.1109/3468.895910en_US
dcterms.abstractThis paper presents the stability and robustness analysis for multivariable fuzzy control systems subject to parameter uncertainties based on a single-grid-point (SGP) approach. To perform the analysis, we represent a multivariable nonlinear system using a TS-fuzzy plant model. Three design approaches of fuzzy controllers are introduced to close the feedback loop. By estimating the matrix measures of the system parameters and parameter uncertainties, stability and robustness conditions for different cases are derived. Application examples will be given to show the design procedures and the merits of the proposed fuzzy controller.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationIEEE transactions on systems, man, and cybernetics. Part A, Systems and humans, Nov. 2000, v. 30, no. 6, p. 825-840en_US
dcterms.isPartOfIEEE transactions on systems, man, and cybernetics. Part A, Systems and humansen_US
dcterms.issued2000-11-
dc.identifier.isiWOS:000166510000019-
dc.identifier.scopus2-s2.0-0034313534-
dc.identifier.rosgroupidr03719-
dc.description.ros2000-2001 > Academic research: refereed > Publication in refereed journal-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRA-
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryVoR alloweden_US
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