Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1422
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dc.contributorDepartment of Electronic and Information Engineering-
dc.creatorLam, HK-
dc.creatorLeung, FHF-
dc.creatorTam, PKS-
dc.date.accessioned2014-12-11T08:26:24Z-
dc.date.available2014-12-11T08:26:24Z-
dc.identifier.isbn0-7803-5877-5-
dc.identifier.urihttp://hdl.handle.net/10397/1422-
dc.language.isoenen_US
dc.publisherIEEEen_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.subjectClosed loop control systemsen_US
dc.subjectControl system analysisen_US
dc.subjectControl system synthesisen_US
dc.subjectMathematical modelsen_US
dc.subjectMultivariable control systemsen_US
dc.subjectNonlinear control systemsen_US
dc.titleFuzzy control of multivariable nonlinear systems subject to parameter uncertainties : model reference 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 control of nonlinear systems subject to parameter uncertainties under a fuzzy control approach. The nonlinear plant tackled in this paper is an n-order nonlinear systems with n inputs. A design procedure of fuzzy controller will be provided such that the states of the closed-loop system will follow those of a user-defined stable reference model despite the presence of parameter uncertainties. A numerical example will be given to show the design procedures and the merits of the proposed fuzzy controller.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationFUZZ IEEE 2000 : the ninth IEEE International Conference on Fuzzy Systems : 7-10 May 2000, San Antonio, Texas, p. 1037-1040-
dcterms.issued2000-
dc.identifier.isiWOS:000088355300187-
dc.identifier.scopus2-s2.0-0033687303-
dc.relation.ispartofbookFUZZ IEEE 2000 : the ninth IEEE International Conference on Fuzzy Systems : 7-10 May 2000, San Antonio, Texas-
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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