Please use this identifier to cite or link to this item:
http://hdl.handle.net/2282/490
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| Title: | Dynamic system calibration by system identification methods |
| Authors: | Ergon, Rolf
Di Ruscio, David |
| Issue Date: | 1997 |
| 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. |
| Keywords: | System identification
Estimation
Multivariate calibration |
| Document type: | Conference paper |
| URI: | http://hdl.handle.net/2282/490 |
| Appears in Collections: | Institutt for elektro, IT og kybernetikk
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