Robustness and Consistency in Linear Quadratic Control with Untrusted Predictions

Robustness and Consistency in Linear Quadratic Control with Untrusted Predictions
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具有不可信预测的线性二次控制的鲁棒性和一致性

DOI:
10.1145/3508038
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发表时间:
2022
期刊:
Proceedings of the ACM on Measurement and Analysis of Computing Systems
影响因子:
--
通讯作者:
Low, Steven
Low, Steven
中科院分区:
--
文献类型:
--
作者:
Li, Tongxin;Yang, Ruixiao;Qu, Guannan;Shi, Guanya;Yu, Chenkai;Wierman, Adam;Low, Steven

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研究了学习增广预测线性二次型控制问题。我们的目标是设计一个控制器来平衡一致性(在预测准确时测量竞争比)和鲁棒性(在预测不准确时限制竞争比)。
We 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.
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