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dc.contributor.authorErgon, Rolf
dc.contributor.authorDi Ruscio, David Luigi
dc.date.accessioned2008-01-03T13:41:19Z
dc.date.accessioned2017-04-19T12:49:40Z
dc.date.available2008-01-03T13:41:19Z
dc.date.available2017-04-19T12:49:40Z
dc.date.issued1997
dc.identifier.citationConference paper. 4th European Control Conference. Brussels, July 1-4, 1997
dc.identifier.isbn978-3-9524269-0-6
dc.identifier.urihttp://hdl.handle.net/11250/2438387
dc.description.abstractPrimary output variables from industrial processes can be estimated from known input variables and secondary process measurements. As a basis for this, the dynamic predictor has to be identi ed from data collected during a calibration experiment. In this paper, the theoretical basis for this is investigated, and a systematic experimental method is proposed.
dc.language.isoeng
dc.subjectSystem identification
dc.subjectEstimation
dc.subjectMultivariate calibration
dc.titleDynamic system calibration by system identification methods
dc.typeChapter
dc.typePeer reviewed
dc.subject.nsi562


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