Parameter estimation for chaotic system with initial random noises by particle swarm optimization

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dc.contributor.authorGao, Feiko
dc.contributor.authorLee, Ju-Jangko
dc.contributor.authorLi, Zhuoqiuko
dc.contributor.authorTong, Hengqingko
dc.contributor.authorLue, Xiaohongko
dc.date.accessioned2013-03-09T14:58:18Z-
dc.date.available2013-03-09T14:58:18Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued2009-10-
dc.identifier.citationCHAOS SOLITONS FRACTALS, v.42, no.2, pp.1286 - 1291-
dc.identifier.issn0960-0779-
dc.identifier.urihttp://hdl.handle.net/10203/96661-
dc.description.abstractThis paper is concerned with the unknown parameters and time-delays of nonlinear chaotic systems with random initial noises. A scheme based on particle swarm optimization(PSO) is newly introduced to solve the problem via a nonnegative multi-modal nonlinear optimization, which finds a best combination of parameters and time-delays such that an objective function is minimized. The illustrative examples, in chaos systems with time-delays or free, are given to demonstrate the effectiveness of the present method. (C) 2009 Elsevier Ltd. All rights reserved.-
dc.languageEnglish-
dc.publisherPERGAMON-ELSEVIER SCIENCE LTD-
dc.subjectTIME-DELAY-
dc.subjectLAG SYNCHRONIZATION-
dc.subjectIDENTIFICATION-
dc.subjectFEEDBACK-
dc.subjectMODEL-
dc.titleParameter estimation for chaotic system with initial random noises by particle swarm optimization-
dc.typeArticle-
dc.identifier.wosid000268550600083-
dc.identifier.scopusid2-s2.0-67650080990-
dc.type.rimsART-
dc.citation.volume42-
dc.citation.issue2-
dc.citation.beginningpage1286-
dc.citation.endingpage1291-
dc.citation.publicationnameCHAOS SOLITONS FRACTALS-
dc.identifier.doi10.1016/j.chaos.2009.03.074-
dc.contributor.localauthorLee, Ju-Jang-
dc.contributor.nonIdAuthorGao, Fei-
dc.contributor.nonIdAuthorLi, Zhuoqiu-
dc.contributor.nonIdAuthorTong, Hengqing-
dc.contributor.nonIdAuthorLue, Xiaohong-
dc.type.journalArticleArticle-
dc.subject.keywordPlusTIME-DELAY-
dc.subject.keywordPlusLAG SYNCHRONIZATION-
dc.subject.keywordPlusIDENTIFICATION-
dc.subject.keywordPlusFEEDBACK-
dc.subject.keywordPlusMODEL-
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