Dynamic system calibration by system identification methods

dc.contributor.author	Ergon, Rolf
dc.contributor.author	Di Ruscio, David Luigi
dc.date.accessioned	2008-01-03T13:41:19Z
dc.date.accessioned	2017-04-19T12:49:40Z
dc.date.available	2008-01-03T13:41:19Z
dc.date.available	2017-04-19T12:49:40Z
dc.date.issued	1997
dc.identifier.citation	Conference paper. 4th European Control Conference. Brussels, July 1-4, 1997
dc.identifier.isbn	978-3-9524269-0-6
dc.identifier.uri	http://hdl.handle.net/11250/2438387
dc.description.abstract	Primary 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.iso	eng
dc.subject	System identification
dc.subject	Estimation
dc.subject	Multivariate calibration
dc.title	Dynamic system calibration by system identification methods
dc.type	Chapter
dc.type	Peer reviewed
dc.subject.nsi	562