Synthesis of run-to-run repetitive control methods using finite impulse response models

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dc.contributor.authorLee, Kwang Soonko
dc.contributor.authorWon, Wangyunko
dc.contributor.authorLee, Jay H.ko
dc.date.accessioned2013-03-09T16:41:11Z-
dc.date.available2013-03-09T16:41:11Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued2009-02-
dc.identifier.citationJOURNAL OF PROCESS CONTROL, v.19, no.2, pp.364 - 369-
dc.identifier.issn0959-1524-
dc.identifier.urihttp://hdl.handle.net/10203/96886-
dc.description.abstractThis paper presents linear quadratic (LQ) repetitive control (RC) methods for processes represented by a conventional FIR model and a circulant FIR model. The latter, which represents a FIR system under the assumption of a cyclic steady state, is named as such as its input-output map is represented by a circulant matrix. Using the complete frequency resolving property of a circulant matrix, a special tuning method for the LQ weights is proposed. Performance of the proposed method is investigated through numerical examples. (C) 2008 Elsevier Ltd. All rights reserved.-
dc.languageEnglish-
dc.publisherELSEVIER SCI LTD-
dc.subjectITERATIVE LEARNING CONTROL-
dc.subjectPREDICTIVE CONTROL-
dc.subjectSYSTEMS-
dc.titleSynthesis of run-to-run repetitive control methods using finite impulse response models-
dc.typeArticle-
dc.identifier.wosid000263665700018-
dc.identifier.scopusid2-s2.0-58749100892-
dc.type.rimsART-
dc.citation.volume19-
dc.citation.issue2-
dc.citation.beginningpage364-
dc.citation.endingpage369-
dc.citation.publicationnameJOURNAL OF PROCESS CONTROL-
dc.identifier.doi10.1016/j.jprocont.2008.03.001-
dc.embargo.liftdate9999-12-31-
dc.embargo.terms9999-12-31-
dc.contributor.localauthorLee, Jay H.-
dc.contributor.nonIdAuthorLee, Kwang Soon-
dc.contributor.nonIdAuthorWon, Wangyun-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorRepetitive control-
dc.subject.keywordAuthorRepetitive process-
dc.subject.keywordAuthorFIR model-
dc.subject.keywordAuthorCirculant matrix-
dc.subject.keywordPlusITERATIVE LEARNING CONTROL-
dc.subject.keywordPlusPREDICTIVE CONTROL-
dc.subject.keywordPlusSYSTEMS-
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