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