Please use this identifier to cite or link to this item:
http://hdl.handle.net/2282/388
|
| Title: | On primary output estimation by use of secondary measurements as inputsignals in system identification |
| Authors: | Ergon, Rolf |
| Issue Date: | 1999 |
| Publishers version: | http://dx.doi.org/10.1109/9.754826 |
| Abstract: | In many cases, vital output variables in, e.g., industrial processes cannot be measured online. It is then of interest to estimate these primary variables from manipulated and measured inputs and the secondary output measurements that are available. In order to identify an optimal estimator from input-output data, a suitable model structure must be chosen. The paper compares use of ARMAX and output error (OE) structures in prediction error identification methods, theoretically and through simulations. |
| Keywords: | Estimation
Product quality
System identification |
| Publisher: | Institute of Electrical and Electronics Engineers |
| Document type: | Journal article |
| URI: | http://hdl.handle.net/2282/388 |
| Appears in Collections: | Institutt for elektro, IT og kybernetikk
|
This item is protected by a usage licens. All items in TEORA are protected by copyright.
|
