Title | ||
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Brief Adaptive control for linear slowly time-varying systems using direct least-squares estimation |
Abstract | ||
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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 dimogianopoulos | 1 | 10 | 1.67 |
Rogelio Lozano | 2 | 914 | 166.62 |