Estimating the degree of time variance in a parametric model

Citation
M. Waller et H. Saxen, Estimating the degree of time variance in a parametric model, AUTOMATICA, 36(4), 2000, pp. 619-625
Citations number
11
Categorie Soggetti
AI Robotics and Automatic Control
Journal title
AUTOMATICA
ISSN journal
00051098 → ACNP
Volume
36
Issue
4
Year of publication
2000
Pages
619 - 625
Database
ISI
SICI code
0005-1098(200004)36:4<619:ETDOTV>2.0.ZU;2-N
Abstract
A method capable of directional considerations in tracking parameters which exhibit different time-variant characteristics is suggested. The method, w hich can be considered an ad hoc modification of the recursive Kalman filte r, is suited to estimate the parameters in a parametric model and, unlike t he Kalman filter, does not require any prior knowledge of the variations. T he efficiency of the proposed method is illustrated through simulated examp les as well as by an application to a full-scale industrial problem. (C) 20 00 Elsevier Science Ltd. All rights reserved.