DocumentCode
2752509
Title
A generalized forgetting function approach for online least squares identification of time-varying linear systems
Author
Mahony, R.E. ; Lozano, R.
Author_Institution
Centre de Recherche de Royallieu, Compiegne, France
Volume
1
fYear
1998
fDate
1998
Firstpage
714
Abstract
The problem of on-line identification of continuous time, time-varying systems is considered via the minimization of a least squares criterion with a forgetting function. The forgetting function used depends on two time-varying parameters which play crucial roles in the stability analysis of the method
Keywords
continuous time systems; identification; least squares approximations; linear systems; minimisation; stability; time-varying systems; continuous time systems; forgetting function; identification; least squares; linear systems; minimization; stability; time-varying systems; Adaptive control; Control systems; Costs; Least squares methods; Linear systems; Parameter estimation; Signal processing; Stability analysis; Time varying systems; Yttrium;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1998. Proceedings of the 37th IEEE Conference on
Conference_Location
Tampa, FL
ISSN
0191-2216
Print_ISBN
0-7803-4394-8
Type
conf
DOI
10.1109/CDC.1998.760769
Filename
760769
Link To Document