Adaptive nonlinear control using input normalized neural networks

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dc.contributor.authorLeeghim, Henzehko
dc.contributor.authorSeo, In-Hoko
dc.contributor.authorBang, Hyochoongko
dc.date.accessioned2013-03-07T05:50:06Z-
dc.date.available2013-03-07T05:50:06Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued2008-06-
dc.identifier.citationJOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, v.22, pp.1073 - 1083-
dc.identifier.issn1738-494X-
dc.identifier.urihttp://hdl.handle.net/10203/89530-
dc.description.abstractAn adaptive feedback linearization technique combined with the neural network is addressed to control uncertain nonlinear systems. The neural network-based adaptive control theory has been widely studied. However, the stability analysis of the closed-loop system with the neural network is rather complicated and difficult to understand, and sometimes unnecessary assumptions are involved. As a result, unnecessary assumptions for stability analysis are avoided by using the neural network with input normalization technique. The ultimate boundedness of the tracking error is simply proved by the Lyapunov stability theory. A new simple update law as an adaptive nonlinear control is derived by the simplification of the input normalized neural network assuming the variation of the uncertain term is sufficiently small.-
dc.languageEnglish-
dc.publisherKOREAN SOC MECHANICAL ENGINEERS-
dc.subjectOUTPUT-FEEDBACK CONTROL-
dc.titleAdaptive nonlinear control using input normalized neural networks-
dc.typeArticle-
dc.identifier.wosid000257490500004-
dc.identifier.scopusid2-s2.0-47149110859-
dc.type.rimsART-
dc.citation.volume22-
dc.citation.beginningpage1073-
dc.citation.endingpage1083-
dc.citation.publicationnameJOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY-
dc.contributor.localauthorBang, Hyochoong-
dc.contributor.nonIdAuthorLeeghim, Henzeh-
dc.contributor.nonIdAuthorSeo, In-Ho-
dc.type.journalArticleArticle-
dc.subject.keywordAuthoradaptive nonlinear control-
dc.subject.keywordAuthorfeedback-
dc.subject.keywordAuthorlinearization-
dc.subject.keywordAuthorneural networks-
dc.subject.keywordAuthoruncertain systems-
dc.subject.keywordAuthorinput normalization-
dc.subject.keywordPlusOUTPUT-FEEDBACK CONTROL-
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