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dc.contributorDepartment of Electronic and Information Engineering-
dc.creatorLam, HK-
dc.creatorYeung, CW-
dc.creatorLeung, FHF-
dc.rights© 2007 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 stabilityen_US
dc.subjectControl systemsen_US
dc.subjectFuzzy controlen_US
dc.subjectFuzzy inferenceen_US
dc.subjectFuzzy logicen_US
dc.subjectFuzzy systemsen_US
dc.subjectIdentification (control systems)en_US
dc.subjectMembership functionsen_US
dc.subjectModal analysisen_US
dc.subjectNonlinear systemsen_US
dc.subjectOptical bistabilityen_US
dc.subjectSystem stabilityen_US
dc.titleStability conditions for fuzzy control systems with fuzzy feedback gainsen_US
dc.typeConference Paperen_US
dc.description.otherinformationAuthor name used in this publication: F. H. F. Leungen_US
dc.description.otherinformationCentre for Signal Processing, Department of Electronic and Information Engineeringen_US
dc.description.otherinformationRefereed conference paperen_US
dcterms.abstractThis paper presents the stability analysis of fuzzy-model-based control systems. A fuzzy controller with fuzzy feedback gains is proposed to control a nonlinear system represented by the T-S fuzzy model. The fuzzy feedback gains effectively enhance the nonlinearity of the fuzzy controller to strengthen the stabilization ability. To facilitate the stability analysis and reduce the computational demand, the fuzzy controller is separated from the fuzzy model by a particular system representation during analysis. Consequently, the number of stability conditions can be reduced to ease the finding of the solution. Two cases of fuzzy controller design, namely the fuzzy controller employs the same and different membership functions as those of the fuzzy plant model, are considered for various applications. Simulation examples are given to illustrate the merits of the proposed approach.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationFUZZ-IEEE 2007 : IEEE International Conference on Fuzzy Systems : Imperial College, London, UK, 23-26 July, 2007, [p. 1-6]-
dc.relation.ispartofbookFUZZ-IEEE 2007 : IEEE International Conference on Fuzzy Systems : Imperial College, London, UK, 23-26 July, 2007-
dc.relation.conferenceIEEE International Conference on Fuzzy Systems [FUZZ]-
dc.description.ros2007-2008 > Academic research: refereed > Refereed conference paper-
dc.description.oaVersion of Recorden_US
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