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A quantitative and constructive proof of Willems' Fundamental Lemma and its implications., , , , , and . CoRR, (2022)Training robust and generalizable quantum models., , , , and . CoRR, (2023)Training Robust Neural Networks Using Lipschitz Bounds., , , , and . IEEE Control. Syst. Lett., (2022)Linear Tracking MPC for Nonlinear Systems—Part II: The Data-Driven Case, , , and . IEEE Transactions on Automatic Control, 67 (9): 4406-4421 (September 2022)Data-Driven Controller Design via Finite-Horizon Dissipativity., , , and . L4DC, volume 144 of Proceedings of Machine Learning Research, page 287-298. PMLR, (2021)Training Robust Neural Networks Using Lipschitz Bounds., , , , and . ACC, page 2595-2600. IEEE, (2021)Robust data-driven state-feedback design., , , and . ACC, page 1532-1538. IEEE, (2020)Stability in data-driven MPC: an inherent robustness perspective., , , and . CDC, page 1105-1110. IEEE, (2022)Verifying dissipativity properties from noise-corrupted input-state data., , and . CDC, page 616-621. IEEE, (2020)Robust Constraint Satisfaction in Data-Driven MPC., , , and . CDC, page 1260-1267. IEEE, (2020)