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

ROBUST MEASUREMENT SELECTION

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dc.contributor.authorLee, Jay H.ko
dc.contributor.authorMORARI, Mko
dc.date.accessioned2013-02-25T12:32:11Z-
dc.date.available2013-02-25T12:32:11Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued1991-05-
dc.identifier.citationAUTOMATICA, v.27, no.3, pp.519 - 527-
dc.identifier.issn0005-1098-
dc.identifier.urihttp://hdl.handle.net/10203/62208-
dc.description.abstractA measurement selection method is developed in the context of Structured Singular Value (SSV) theory. The method is based on robust performance norm-bounds on transfer functions with direct implications on the sensitivity and robustness of the closed-loop system. Using a high purity distillation column as an example, it is demonstrated that the new measurement selection method can be successfully applied to a realistic problem to yield a measurement set and a controller with robust performance.-
dc.languageEnglish-
dc.publisherPERGAMON-ELSEVIER SCIENCE LTD-
dc.subjectINFERENTIAL CONTROL-
dc.subjectOPTIMAL LOCATION-
dc.titleROBUST MEASUREMENT SELECTION-
dc.typeArticle-
dc.identifier.wosidA1991FL61100008-
dc.identifier.scopusid2-s2.0-0026154994-
dc.type.rimsART-
dc.citation.volume27-
dc.citation.issue3-
dc.citation.beginningpage519-
dc.citation.endingpage527-
dc.citation.publicationnameAUTOMATICA-
dc.identifier.doi10.1016/0005-1098(91)90109-F-
dc.contributor.localauthorLee, Jay H.-
dc.contributor.nonIdAuthorMORARI, M-
dc.type.journalArticleNote-
dc.subject.keywordAuthorROBUST CONTROL-
dc.subject.keywordAuthorSENSORS-
dc.subject.keywordAuthorESTIMATION-
dc.subject.keywordAuthorOBSERVERS-
dc.subject.keywordAuthorDISTURBANCE REJECTION-
dc.subject.keywordAuthorDISTILLATION COLUMNS-
dc.subject.keywordPlusINFERENTIAL CONTROL-
dc.subject.keywordPlusOPTIMAL LOCATION-
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CBE-Journal Papers(저널논문)
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