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College of Engineering(공과대학)Dept. of Chemical and Biomolecular Engineering(생명화학공학과)CBE-Journal Papers(저널논문)

Convergence of constrained model-based predictive control for batch processes

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dc.contributor.authorLee, KSko
dc.contributor.authorLee, JayHyungko
dc.date.accessioned2013-02-28T05:05:51Z-
dc.date.available2013-02-28T05:05:51Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued2000-10-
dc.identifier.citationIEEE TRANSACTIONS ON AUTOMATIC CONTROL, v.45, no.10, pp.1928 - 1932-
dc.identifier.issn0018-9286-
dc.identifier.urihttp://hdl.handle.net/10203/72910-
dc.description.abstractConvergence property of constrained BMPC (Model-based Predictive Control for Batch Processes) is investigated. BMPC is a recently developed control technique that combines iterative learning control with real-time predictive control. It is proven for a general class of linear constrained systems that the tracking error converges to zero as the run number increases.-
dc.languageEnglish-
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC-
dc.titleConvergence of constrained model-based predictive control for batch processes-
dc.typeArticle-
dc.identifier.wosid000165173400021-
dc.identifier.scopusid2-s2.0-0034290928-
dc.type.rimsART-
dc.citation.volume45-
dc.citation.issue10-
dc.citation.beginningpage1928-
dc.citation.endingpage1932-
dc.citation.publicationnameIEEE TRANSACTIONS ON AUTOMATIC CONTROL-
dc.identifier.doi10.1109/TAC.2000.881002-
dc.contributor.localauthorLee, JayHyung-
dc.contributor.nonIdAuthorLee, KS-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorbatch process control-
dc.subject.keywordAuthorconstrained control-
dc.subject.keywordAuthoriterative learning control-
dc.subject.keywordAuthormodel predictive control-
dc.subject.keywordPlusSTABILITY-
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CBE-Journal Papers(저널논문)
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