Title
Brief Adaptive control for linear slowly time-varying systems using direct least-squares estimation
Abstract
In this paper, we propose a least-squares-based non-recursive identification algorithm capable of dealing with slowly time-varying parameters. The minimized criterion is an L 2 norm of the identification error with forgetting factor. The proposed estimation algorithm does not require explicit knowledge on the noise bound or the region where the true parameters lie. Finally, a pole placement hybrid controller is designed and the system's state is shown to be bounded.
Year
DOI
Venue
2001
10.1016/S0005-1098(00)00159-X
Automatica (Journal of IFAC)
Keywords
Field
DocType
time-varying parameter,least-squares-based non-recursive identification algorithm,Brief Adaptive control,explicit knowledge,time-varying system,pole placement,hybrid controller,true parameter,direct least-squares estimation,identification error,proposed estimation algorithm
Least squares,Control theory,Mathematical optimization,Forgetting factor,Explicit knowledge,Control theory,Full state feedback,Adaptive control,Norm (mathematics),Mathematics,Bounded function
Journal
Volume
Issue
ISSN
37
2
0005-1098
Citations 
PageRank 
References 
4
0.47
2
Authors
2
Name
Order
Citations
PageRank
dimitrios dimogianopoulos1101.67
Rogelio Lozano2914166.62