Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1447
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dc.contributorDepartment of Electronic and Information Engineering-
dc.creatorLam, HK-
dc.creatorLeung, FHF-
dc.creatorTam, PKS-
dc.date.accessioned2014-12-11T08:28:11Z-
dc.date.available2014-12-11T08:28:11Z-
dc.identifier.issn1083-4419-
dc.identifier.urihttp://hdl.handle.net/10397/1447-
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.rights© 2003 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 plant modelen_US
dc.subjectGenetic algorithm (GA)en_US
dc.subjectNonlinear controlleren_US
dc.subjectNonlinear systemsen_US
dc.subjectStabilityen_US
dc.titleDesign and stability analysis of fuzzy model-based nonlinear controller for nonlinear systems using genetic algorithmen_US
dc.typeJournal/Magazine Articleen_US
dc.description.otherinformationAuthor name used in this publication: Frank H. Leungen_US
dc.description.otherinformationCentre for Multimedia Signal Processing, Department of Electronic and Information Engineeringen_US
dc.identifier.spage250-
dc.identifier.epage257-
dc.identifier.volume33-
dc.identifier.issue2-
dc.identifier.doi10.1109/TSMCB.2003.810440-
dcterms.abstractThis paper presents the stability analysis of fuzzy model-based nonlinear control systems, and the design of nonlinear gains and feedback gains of the nonlinear controller using genetic algorithm (GA) with arithmetic crossover and nonuniform mutation. A stability condition will be derived based on Lyapunov's stability theory with a smaller number of Lyapunov conditions. The solution of the stability conditions are also determined using GA. An application example of stabilizing a cart-pole typed inverted pendulum system will be given to show the stabilizability of the nonlinear controller.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationIEEE transactions on systems, man, and cybernetics. Part B, Cybernetics, Apr. 2003, v. 33, no. 2, p. 250-257-
dcterms.isPartOfIEEE transactions on systems, man, and cybernetics. Part B, Cybernetics-
dcterms.issued2003-04-
dc.identifier.isiWOS:000181656500007-
dc.identifier.scopus2-s2.0-0037380375-
dc.identifier.rosgroupidr11851-
dc.description.ros2002-2003 > Academic research: refereed > Publication in refereed journal-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
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