Name
Abstract | ||
|---|---|---|
Performance of adaptive control policies is assessed through the regret with respect to the optimal regulator, which reflects the increase in the operating cost due to uncertainty about the dynamics parameters. However, available results in the literature do not provide a quantitative characterization of the effect of the unknown parameters on the regret. Further, there are problems regarding the efficient implementation of some of the existing adaptive policies. Finally, results regarding the accuracy with which the system’s parameters are identified are scarce and rather incomplete. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.automatica.2020.108982 | Automatica |
Keywords | DocType | Volume |
Regret analysis,Certainty Equivalence,Randomized algorithms,Thompson sampling,System identification,Adaptive policies | Journal | 117 |
Issue | ISSN | Citations |
117 | 0005-1098 | 2 |
PageRank | References | Authors |
0.43 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mohamad Kazem Shirani Faradonbeh | 1 | 24 | 5.96 |
| Ambuj Tewari | 2 | 1371 | 99.22 |
| George Michailidis | 3 | 303 | 35.19 |