2nd-order PD-type Learning Control Algorithm

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dc.contributor.author김용태ko
dc.contributor.author변증남ko
dc.date.accessioned2013-03-06T05:27:05Z-
dc.date.available2013-03-06T05:27:05Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued2004-
dc.identifier.citation한국지능시스템학회 논문지, v.14, no.2, pp.247 - 252-
dc.identifier.issn1598-7078-
dc.identifier.urihttp://hdl.handle.net/10203/85948-
dc.description.abstractIn this paper are proposed 2nd-order PD-type iterative learning control algorithms for linear continuous-time system and linear discrete-time system. In contrast to conventional methods, the proposed learning algorithms are constructed based on both time-domain performance and iteration-domain performance. The convergence of the proposed learning algorithms is proved. Also, it is shown that the proposed method has robustness in the presence of external disturbances and the convergence accuracy can be improved. A numerical example is provided to show the effectiveness of the proposed algorithms.-
dc.languageEnglish-
dc.publisher한국지능시스템학회-
dc.title2nd-order PD-type Learning Control Algorithm-
dc.typeArticle-
dc.type.rimsART-
dc.citation.volume14-
dc.citation.issue2-
dc.citation.beginningpage247-
dc.citation.endingpage252-
dc.citation.publicationname한국지능시스템학회 논문지-
dc.contributor.localauthor변증남-
dc.contributor.nonIdAuthor김용태-
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EE-Journal Papers(저널논문)
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