Title :
On line identification for time-varying systems
Author_Institution :
Northeast University of Technology, Liaoning, People´s Republic of China
Abstract :
In this paper, the author applies the local approximation scheme in his previous work on discrete-time adaptive control for deterministic time-varying systems[1] in developing an on line identification algorithm. The algorithm is able to identify unknown systems with quite rapidly time-varying parameters effectively and can be viewed as a generalization of the previous work of Xie and Evans[2]. The parameter estimates minimize a least squares index. Several numerical results of the algorithm are given.
Keywords :
Adaptive control; Approximation algorithms; Automatic control; Control systems; Delay effects; Least squares approximation; Polynomials; Sampling methods; Time invariant systems; Time varying systems;
Conference_Titel :
Decision and Control, 1986 25th IEEE Conference on
Conference_Location :
Athens, Greece
DOI :
10.1109/CDC.1986.267188
