Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/1432
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Electronic and Information Engineering | - |
dc.creator | Leung, FHF | - |
dc.creator | Lam, HK | - |
dc.creator | Ling, SH | - |
dc.creator | Tam, PKS | - |
dc.date.accessioned | 2014-12-11T08:28:09Z | - |
dc.date.available | 2014-12-11T08:28:09Z | - |
dc.identifier.issn | 0278-0046 | - |
dc.identifier.uri | http://hdl.handle.net/10397/1432 | - |
dc.language.iso | en | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers | en_US |
dc.rights | © 2004 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 | Fuzzy control | en_US |
dc.subject | Nonlinear systems | en_US |
dc.subject | Optimality and stability | en_US |
dc.title | Optimal and stable fuzzy controllers for nonlinear systems based on an improved genetic algorithm | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.description.otherinformation | Centre for Multimedia Signal Processing, Department of Electronic and Information Engineering | en_US |
dc.identifier.spage | 172 | - |
dc.identifier.epage | 182 | - |
dc.identifier.volume | 51 | - |
dc.identifier.issue | 1 | - |
dc.identifier.doi | 10.1109/TIE.2003.821898 | - |
dcterms.abstract | This paper addresses the optimization and stabilization problems of nonlinear systems subject to parameter uncertainties. The methodology is based on a fuzzy logic approach and an improved genetic algorithm (GA). The TSK fuzzy plant model is employed to describe the dynamics of the uncertain nonlinear plant. A fuzzy controller is then obtained to close the feedback loop. The stability conditions are derived. The feedback gains of the fuzzy controller and the solution for meeting the stability conditions are determined using the improved GA. In order to obtain the optimal fuzzy controller, the membership functions are further tuned by minimizing a defined fitness function using the improved GA. An application example on stabilizing a two-link robot arm will be given. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | IEEE transactions on industrial electronics, Feb. 2004, v. 51, no. 1, p. 172-182 | - |
dcterms.isPartOf | IEEE transactions on industrial electronics | - |
dcterms.issued | 2004-02 | - |
dc.identifier.isi | WOS:000188808100019 | - |
dc.identifier.scopus | 2-s2.0-1342329427 | - |
dc.identifier.eissn | 1557-9948 | - |
dc.identifier.rosgroupid | r19450 | - |
dc.description.ros | 2003-2004 > Academic research: refereed > Publication in refereed journal | - |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | OA_IR/PIRA | en_US |
dc.description.pubStatus | Published | en_US |
Appears in Collections: | Journal/Magazine Article |
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File | Description | Size | Format | |
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Optimal and stable fuzzy controllers_04.pdf | 356.99 kB | Adobe PDF | View/Open |
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