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
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;
Conference_Titel :
Decision and Control, 1998. Proceedings of the 37th IEEE Conference on
Conference_Location :
Tampa, FL
Print_ISBN :
0-7803-4394-8
DOI :
10.1109/CDC.1998.760769
