Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/1383
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Electronic and Information Engineering | - |
dc.creator | Lam, HK | - |
dc.creator | Yeung, CW | - |
dc.creator | Leung, FHF | - |
dc.date.accessioned | 2014-12-11T08:26:23Z | - |
dc.date.available | 2014-12-11T08:26:23Z | - |
dc.identifier.isbn | 1-4244-1210-2 | - |
dc.identifier.uri | http://hdl.handle.net/10397/1383 | - |
dc.language.iso | en | en_US |
dc.publisher | IEEE | en_US |
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.rights | This 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.subject | Control system analysis | en_US |
dc.subject | Control system stability | en_US |
dc.subject | Control systems | en_US |
dc.subject | Fuzzy control | en_US |
dc.subject | Fuzzy inference | en_US |
dc.subject | Fuzzy logic | en_US |
dc.subject | Fuzzy systems | en_US |
dc.subject | Identification (control systems) | en_US |
dc.subject | Membership functions | en_US |
dc.subject | Modal analysis | en_US |
dc.subject | Nonlinear systems | en_US |
dc.subject | Optical bistability | en_US |
dc.subject | System stability | en_US |
dc.title | Stability conditions for fuzzy control systems with fuzzy feedback gains | en_US |
dc.type | Conference Paper | en_US |
dc.description.otherinformation | Author name used in this publication: F. H. F. Leung | en_US |
dc.description.otherinformation | Centre for Signal Processing, Department of Electronic and Information Engineering | en_US |
dc.description.otherinformation | Refereed conference paper | en_US |
dcterms.abstract | This 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.accessRights | open access | en_US |
dcterms.bibliographicCitation | FUZZ-IEEE 2007 : IEEE International Conference on Fuzzy Systems : Imperial College, London, UK, 23-26 July, 2007, [p. 1-6] | - |
dcterms.issued | 2007 | - |
dc.identifier.scopus | 2-s2.0-50249150884 | - |
dc.relation.ispartofbook | FUZZ-IEEE 2007 : IEEE International Conference on Fuzzy Systems : Imperial College, London, UK, 23-26 July, 2007 | - |
dc.relation.conference | IEEE International Conference on Fuzzy Systems [FUZZ] | - |
dc.identifier.rosgroupid | r38226 | - |
dc.description.ros | 2007-2008 > Academic research: refereed > Refereed conference paper | - |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | OA_IR/PIRA | en_US |
dc.description.pubStatus | Published | en_US |
dc.description.oaCategory | VoR allowed | en_US |
Appears in Collections: | Conference Paper |
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Conditions for fuzzy control systems_07.pdf | 463.95 kB | Adobe PDF | View/Open |
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