| Data-driven distributionally robust LQR with multiplicative noise P Coppens, M Schuurmans, P Patrinos Learning for dynamics and control, 521-530, 2020 | 37 | 2020 |
| Risk-averse risk-constrained optimal control P Sopasakis, M Schuurmans, P Patrinos 2019 18th European Control Conference (ECC), 375-380, 2019 | 28 | 2019 |
| Nonlinear model predictive control for distributed motion planning in road intersections using PANOC A Katriniok, P Sopasakis, M Schuurmans, P Patrinos 2019 IEEE 58th Conference on Decision and Control (CDC), 5272-5278, 2019 | 26 | 2019 |
| Safe learning-based control of stochastic jump linear systems: a distributionally robust approach M Schuurmans, P Sopasakis, P Patrinos 2019 IEEE 58th Conference on Decision and Control (CDC), 6498-6503, 2019 | 26 | 2019 |
| A general framework for learning-based distributionally robust MPC of Markov jump systems M Schuurmans, P Patrinos IEEE Transactions on Automatic Control 68 (5), 2950-2965, 2023 | 22 | 2023 |
| Efficient semantic image segmentation with superpixel pooling M Schuurmans, M Berman, MB Blaschko arXiv preprint arXiv:1806.02705, 2018 | 22 | 2018 |
| Learning MPC for interaction-aware autonomous driving: A game-theoretic approach B Evens, M Schuurmans, P Patrinos 2022 European Control Conference (ECC), 34-39, 2022 | 21 | 2022 |
| Safe, learning-based MPC for highway driving under lane-change uncertainty: A distributionally robust approach M Schuurmans, A Katriniok, C Meissen, HE Tseng, P Patrinos Artificial Intelligence 320, 103920, 2023 | 17 | 2023 |
| Learning-based distributionally robust model predictive control of markovian switching systems with guaranteed stability and recursive feasibility M Schuurmans, P Patrinos 2020 59th IEEE Conference on Decision and Control (CDC), 4287-4292, 2020 | 15 | 2020 |
| Interaction-aware model predictive control for autonomous driving R Wang, M Schuurmans, P Patrinos 2023 European Control Conference (ECC), 1-6, 2023 | 12 | 2023 |
| Learning-based risk-averse model predictive control for adaptive cruise control with stochastic driver models M Schuurmans, A Katriniok, HE Tseng, P Patrinos IFAC-PapersOnLine 53 (2), 15128-15133, 2020 | 12 | 2020 |
| Alpaqa: A matrix-free solver for nonlinear MPC and large-scale nonconvex optimization P Pas, M Schuurmans, P Patrinos 2022 European Control Conference (ECC), 417-422, 2022 | 9 | 2022 |
| Data-driven distributionally robust control of partially observable jump linear systems M Schuurmans, P Patrinos 2021 60th IEEE Conference on Decision and Control (CDC), 4332-4337, 2021 | 7 | 2021 |
| Distributionally robust optimization using cost-aware ambiguity sets M Schuurmans, P Patrinos IEEE Control Systems Letters 7, 1855-1860, 2023 | 1 | 2023 |
| SPOCK: A proximal method for multistage risk-averse optimal control problems A Bodard, R Moran, M Schuurmans, P Patrinos, P Sopasakis IFAC-PapersOnLine 56 (2), 1944-1951, 2023 | 1 | 2023 |
| EM++: A parameter learning framework for stochastic switching systems R Wang, A Bodard, M Schuurmans, P Patrinos arXiv preprint arXiv:2407.16359, 2024 | | 2024 |
| Intraday Power Trading for Imbalance Markets: An Adaptive Risk-Averse Strategy using Mixture Models R Bruneel, M Schuurmans, P Patrinos arXiv preprint arXiv:2402.01215, 2024 | | 2024 |
| Distributionally Robust Model Predictive Control for Safety-Critical Systems: with Applications in Autonomous Driving M Schuurmans | | 2023 |
| Learning a Generalized Switching System using Expectation-Maximization R Wang, M Schuurmans, P Patrinos | | |
Panagiotis PatrinosAssociate Professor, KU Leuven在 esat.kuleuven.be 的电子邮件经过验证
