Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1402
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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.isbn0-7803-4863-X-
dc.identifier.urihttp://hdl.handle.net/10397/1402-
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.subjectControl system analysisen_US
dc.subjectDigital control systemsen_US
dc.subjectFuzzy controlen_US
dc.subjectFuzzy setsen_US
dc.subjectMathematical modelsen_US
dc.subjectMultivariable control systemsen_US
dc.subjectRobustness (control systems)en_US
dc.subjectSystem stabilityen_US
dc.subjectUncertain systemsen_US
dc.titleStability and robustness analysis of uncertain multivariable continuous-time nonlinear systems with digital fuzzy controlleren_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 analyses of the stability and robustness of multivariable continuous-time nonlinear systems subject to parameter uncertainties and with digital fuzzy controllers. To proceed with the analysis, first, an uncertain multivariable nonlinear plant will be represented by a fuzzy plant model with parameter uncertainties. Second, a digital fuzzy controller is designed to close the feedback loop. Third, the stability criteria, the robust area and the largest sampling period will be derived in terms of the matrix measures of the system parameters and the norms of the parameter uncertainties. An application example on stabilizing an uncertain nonlinear mass-spring-damper system will be given to show the stabilizability and robustness properties of the proposed digital fuzzy controller.-
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. 498-503-
dcterms.issued1998-
dc.identifier.isiWOS:000074668800088-
dc.identifier.scopus2-s2.0-0031618525-
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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