Robustness and Consistency in Linear Quadratic Control with Untrusted Predictions
نویسندگان
چکیده
We study the problem of learning-augmented predictive linear quadratic control. Our goal is to design a controller that balances consistency, which measures competitive ratio when predictions are accurate, and robustness, bounds inaccurate.
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ژورنال
عنوان ژورنال: Proceedings of the ACM on measurement and analysis of computing systems
سال: 2022
ISSN: ['2476-1249']
DOI: https://doi.org/10.1145/3508038