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 | |