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dc.contributorDepartment of Electronic and Information Engineering-
dc.creatorLam, HK-
dc.creatorLeung, FHF-
dc.creatorTam, PKS-
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.subjectControl system analysisen_US
dc.subjectControl system synthesisen_US
dc.subjectLinear control systemsen_US
dc.subjectMathematical modelsen_US
dc.subjectMatrix algebraen_US
dc.subjectMultivariable control systemsen_US
dc.subjectNonlinear control systemsen_US
dc.subjectParameter estimationen_US
dc.titleSwitching controller for fuzzy systems subject to unknown parameters : analysis and design based on a linear matrix inequality (LMI) 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 a switching control scheme for multivariable nonlinear systems. Based on a fuzzy plant model of the multivariable nonlinear system, a switching controller consisting of a number of simple sub-controllers is proposed. The parameters of the switching controller can be obtained by solving some LMIs. A switching algorithm is developed. To illustrate the merits and the design procedures of the proposed switching controller, an application example is given.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationFUZZ IEEE 2000 : the ninth IEEE International Conference on Fuzzy Systems : 7-10 May 2000, San Antonio, Texas, p. 555-559-
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
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