Optimal minimal-order least-squares estimators via the general two-stage Kalman filter
| dc.citation.epage | 1776 | en_US |
| dc.citation.issue | 11 | en_US |
| dc.citation.spage | 1772 | en_US |
| dc.citation.volume | 46 | en_US |
| dc.citation.woscount | 7 | |
| dc.contributor.author | Hsieh, CS | en_US |
| dc.contributor.author | Chen, FC | en_US |
| dc.contributor.department | 電控工程研究所 | zh_TW |
| dc.contributor.department | Institute of Electrical and Control Engineering | en_US |
| dc.date.accessioned | 2014-12-08T15:43:15Z | |
| dc.date.available | 2014-12-08T15:43:15Z | |
| dc.date.issued | 2001-11-01 | en_US |
| dc.description.abstract | A direct derivation of the optimal minimal-order least-squares estimator (OMOLSE) is presented using the recently developed general two-stage Kalman filter (GTSKF). Using this new result, the reduced-order estimators of O'Reilly and Fairman are readily shown to be equivalent. A practical implementation issue to consider these two estimators is also addressed. | en_US |
| dc.identifier.doi | 10.1109/9.964689 | en_US |
| dc.identifier.issn | 0018-9286 | en_US |
| dc.identifier.journal | IEEE TRANSACTIONS ON AUTOMATIC CONTROL | en_US |
| dc.identifier.uri | http://dx.doi.org/10.1109/9.964689 | en_US |
| dc.identifier.uri | https://ir.lib.nycu.edu.tw/handle/11536/29271 | |
| dc.identifier.wosnumber | WOS:000172108000009 | |
| dc.language.iso | en_US | en_US |
| dc.subject | least-squares estimator | en_US |
| dc.subject | minimal-order estimator | en_US |
| dc.subject | reduced-order estimator | en_US |
| dc.subject | two-stage Kalman filter | en_US |
| dc.title | Optimal minimal-order least-squares estimators via the general two-stage Kalman filter | en_US |
| dc.type | Article | en_US |