Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1358
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dc.contributorDepartment of Electronic and Information Engineering-
dc.creatorLam, HK-
dc.creatorLeung, FHF-
dc.creatorTam, PKS-
dc.date.accessioned2014-12-11T08:26:20Z-
dc.date.available2014-12-11T08:26:20Z-
dc.identifier.isbn0-7803-5735-3-
dc.identifier.urihttp://hdl.handle.net/10397/1358-
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.rights© 1999 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 synthesisen_US
dc.subjectLyapunov methodsen_US
dc.subjectMathematical modelsen_US
dc.subjectMembership functionsen_US
dc.subjectNonlinear control systemsen_US
dc.subjectSystem stabilityen_US
dc.titleDesign of a fuzzy controller for stabilizing a ball-and-beam systemen_US
dc.typeConference Paperen_US
dc.description.otherinformationAuthor name used in this publication: P. K. S. Tamen_US
dc.description.otherinformationAuthor name used in this publication: F. H. F. Leungen_US
dcterms.abstractThis paper presents the stability analysis and design of fuzzy controller for a nonlinear ball-and beam-system. An improved simple stability condition will be derived based on the Lyapunov's stability theory. The derived stability condition involves a smaller number of Lyapunov's conditions. A design of the membership functions of the fuzzy controller will be given. In our approach, the number of rules of the fuzzy controller can be different from that of the fuzzy plant model. In addition, our approach can be applied to those fuzzy controllers with both positive and negative grades of membership.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationIECON'99 proceedings : the 25th annual conference of the IEEE Industrial Electronics Society : November 29-December 3, 1999, San Jose, California, USA, p. 520-524-
dcterms.issued1999-
dc.identifier.scopus2-s2.0-0033282435-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
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