Optimal and Stable Fuzzy Controllers for Nonlinear Systems Based on an Improved Genetic Algorithm

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dc.contributor.author Leung, FHF
dc.contributor.author Lam, HK
dc.contributor.author Ling, SH
dc.contributor.author Tam, PKS
dc.date.accessioned 2012-02-02T10:40:08Z
dc.date.issued 2004-02
dc.identifier.citation IEEE Transactions on Industrial Electronics, 2004, 51 (1), pp. 172 - 182
dc.identifier.issn 0278-0046
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.
dc.language eng
dc.relation.hasversion Accepted manuscript version
dc.relation.isbasedon 10.1109/TIE.2003.821898
dc.title Optimal and Stable Fuzzy Controllers for Nonlinear Systems Based on an Improved Genetic Algorithm
dc.type Journal Article
dc.parent IEEE Transactions on Industrial Electronics
dc.journal.volume 1
dc.journal.volume 51
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 0906 Electrical and Electronic Engineering
dc.personcode 106694
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.location.activity WOS:000289949000090
dc.description.keywords Fuzzy control, nonlinear systems, optimality and stability en_US
dc.description.keywords NA
dc.description.keywords Fuzzy control, nonlinear systems, optimality and stability
dc.description.keywords Fuzzy control
dc.description.keywords Nonlinear systems
dc.description.keywords Optimality and stability
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology/School of Elec, Mech and Mechatronic Systems
pubs.organisational-group /University of Technology Sydney/Strength - Health Technologies
utslib.copyright.status Open Access
utslib.copyright.date 2015-04-15 12:23:47.074767+10
utslib.collection.history General (ID: 2)


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