Distributionally Robust Optimization using Cost-Aware Ambiguity Sets von Schuurmans, Mathijs, Patrinos, Panagiotis

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Distributionally Robust Optimization Using Cost-Aware Ambiguity Sets von Schuurmans, Mathijs, Patrinos, Panagiotis

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Distributionally Robust Optimization using Cost-Aware Ambiguity Sets von Schuurmans, Mathijs, Patrinos, Panagiotis

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A General Framework for Learning-Based Distributionally Robust MPC of Markov Jump Systems von Schuurmans, Mathijs, Patrinos, Panagiotis

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Data-driven distributionally robust control of partially observable jump linear systems von Schuurmans, Mathijs, Patrinos, Panagiotis

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Intraday Power Trading for Imbalance Markets: An Adaptive Risk-Averse Strategy using Mixture Models von Bruneel, Robin, Schuurmans, Mathijs, Patrinos, Panagiotis

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Learning-Based Distributionally Robust Model Predictive Control of Markovian Switching Systems with Guaranteed Stability and Recursive Feasibility von Schuurmans, Mathijs, Patrinos, P

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Learning-Based Distributionally Robust Model Predictive Control of Markovian Switching Systems with Guaranteed Stability and Recursive Feasibility von Schuurmans, Mathijs, Patrinos, Panagiotis

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Learning-Based Risk-Averse Model Predictive Control for Adaptive Cruise Control with Stochastic Driver Models von Schuurmans, Mathijs, Katriniok, Alexander, Tseng, Hongtei Eric, Patrinos, Panagiotis

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Interaction-aware Model Predictive Control for Autonomous Driving von Wang, Renzi, Schuurmans, Mathijs, Patrinos, Panagiotis

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Distributionally Robust Optimization using Cost-Aware Ambiguity Sets von Schuurmans, Mathijs, Patrinos, Panagiotis

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A General Framework for Learning-Based Distributionally Robust MPC of Markov Jump Systems von Schuurmans, Mathijs, Patrinos, Panagiotis

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ALPAQA: A matrix-free solver for nonlinear MPC and large-scale nonconvex optimization von Pas, Pieter, Schuurmans, Mathijs, Patrinos, Panagiotis

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Alpaqa: A matrix-free solver for nonlinear MPC and large-scale nonconvex optimization von Pas, Pieter, Schuurmans, Mathijs, Patrinos, Panagiotis

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SPOCK: A proximal method for multistage risk-averse optimal control problems von Bodard, Alexander, Moran, Ruairi, Schuurmans, Mathijs, Patrinos, Panagiotis, Sopasakis, Pantelis

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Learning-Based Risk-Averse Model Predictive Control for Adaptive Cruise Control with Stochastic Driver Models⁎⁎This work was supported by the Ford-KU Leuven Research Alliance. The... von Schuurmans, Mathijs, Katriniok, Alexander, Tseng, Hongtei Eric, Patrinos, Panagiotis

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Safe Learning-Based Control of Stochastic Jump Linear Systems: a Distributionally Robust Approach von Schuurmans, Mathijs, Sopasakis, P, Patrinos, P

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Safe Learning-Based Control of Stochastic Jump Linear Systems: a Distributionally Robust Approach von Schuurmans, Mathijs, Sopasakis, Pantelis, Patrinos, Panagiotis

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Safe, Learning-Based MPC for Highway Driving under Lane-Change Uncertainty: A Distributionally Robust Approach von Schuurmans, Mathijs, Katriniok, Alexander, Meissen, Christopher, Tseng, H. Eric, Patrinos, Panagiotis

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Safe learning-based control of stochastic jump linear systems: a distributionally robust approach von Schuurmans, Mathijs, Sopasakis, Pantelis, Patrinos, Panagiotis

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