Name
Abstract | ||
|---|---|---|
We study in this paper a robust optimal target tracking problem for a class of uncertain linear systems, where all unknown parameters and disturbances are bounded by ellipsoids. We propose an adaptive robust control strategy with a learning feature such that the size of the uncertainty set is reduced successively during the time horizon by adopting a set membership-based estimation procedure. For each given updated uncertainty set, we compute a robust optimal control law by efficiently solving a corresponding second-order cone programming problem. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/CDC.2010.5717069 | CDC |
Keywords | Field | DocType |
uncertain systems,optimal control,mathematical programming,robust control,set theory,robust optimal control law,second-order cone programming problem,adaptive control,linear systems,uncertain linear systems,adaptive robust control strategy,set membership-based estimation procedure,uncertainty,ellipsoids,robust optimization,robustness,programming,estimation | Set theory,Mathematical optimization,Optimal control,Time horizon,Linear system,Computer science,Control theory,Robustness (computer science),Adaptive control,Robust control,Bounded function | Conference |
ISSN | ISBN | Citations |
0743-1546 | 978-1-4244-7745-6 | 0 |
PageRank | References | Authors |
0.34 | 10 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fucai Qian | 1 | 42 | 9.27 |
| Jianjun Gao | 2 | 51 | 11.33 |
| Duan Li | 3 | 721 | 73.60 |