A Wasserstein distributionally robust data-driven predictive control framework for unknown stochastic LTI systems that yields a tractable reformulation with high-probability bounds on true expected cost and output constraints.
On a stochastic fundamental lemma and its use for data-driven optimal control.IEEE Transactions on Automatic Control, 68(10):5922–5937
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.SY 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Distributionally Robust Data-Driven Predictive Control for Stochastic LTI Systems
A Wasserstein distributionally robust data-driven predictive control framework for unknown stochastic LTI systems that yields a tractable reformulation with high-probability bounds on true expected cost and output constraints.