Name
Abstract | ||
|---|---|---|
AbstractWe study the problem of learning-augmented predictive linear quadratic control. Our goal is to design a controller that balances consistency, which measures the competitive ratio when predictions are accurate, and robustness, which bounds the competitive ratio when predictions are inaccurate. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1145/3508038 | Proceedings of the ACM on Measurement and Analysis of Computing Systems |
Keywords | DocType | Volume |
online control, model predictive control, online learning, competitive analysis | Journal | 6 |
Issue | Citations | PageRank |
1 | 0 | 0.34 |
References | Authors | |
0 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tongxin Li | 1 | 0 | 0.68 |
| Ruixiao Yang | 2 | 0 | 0.34 |
| Guannan Qu | 3 | 54 | 8.59 |
| Guanya Shi | 4 | 2 | 4.42 |
| Chenkai Yu | 5 | 0 | 1.01 |
| Adam Wierman | 6 | 1635 | 106.57 |
| S. H. Low | 7 | 5999 | 585.58 |