Optimal and stable fuzzy controllers for nonlinear systems based on an improved genetic algorithm

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dc.contributor.author Leung, Frank en_US
dc.contributor.author Lam, Hak-Keung en_US
dc.contributor.author Ling, Steve en_US
dc.contributor.author Tam, P K S en_US
dc.contributor.editor en_US
dc.date.accessioned 2012-02-02T10:40:08Z
dc.date.available 2012-02-02T10:40:08Z
dc.date.issued 2004 en_US
dc.identifier 2010004235 en_US
dc.identifier.citation Leung Frank et al. 2004, 'Optimal and stable fuzzy controllers for nonlinear systems based on an improved genetic algorithm', IEEE-Inst Electrical Electronics Engineers Inc, vol. 51, no. 1, pp. 172-182. en_US
dc.identifier.issn 0278-0046 en_US
dc.identifier.other C1UNSUBMIT en_US
dc.identifier.uri http://hdl.handle.net/10453/15259
dc.description.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. en_US
dc.language en_US
dc.publisher IEEE-Inst Electrical Electronics Engineers Inc en_US
dc.relation.hasversion Accepted manuscript version
dc.relation.isbasedon http://dx.doi.org/10.1109/TIE.2003.821898 en_US
dc.title Optimal and stable fuzzy controllers for nonlinear systems based on an improved genetic algorithm en_US
dc.parent IEEE Transactions On Industrial Electronics en_US
dc.journal.volume 51 en_US
dc.journal.number 1 en_US
dc.publocation Piscataway en_US
dc.identifier.startpage 172 en_US
dc.identifier.endpage 182 en_US
dc.cauo.name FEIT. A/DRsch Ctre for Health Technologies en_US
dc.conference Verified OK en_US
dc.for 090600 en_US
dc.personcode 0000059012 en_US
dc.personcode 0000059682 en_US
dc.personcode 106694 en_US
dc.personcode 0000069393 en_US
dc.percentage 100 en_US
dc.classification.name Electrical and Electronic Engineering en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom en_US
dc.date.activity en_US
dc.location.activity WOS:000188808100019 en_US
dc.description.keywords Fuzzy control, nonlinear systems, optimality and stability en_US

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