20 citations · 49 across the 19 of their papers we have counts for
4 papers · 2 filters
Alpaqa: A matrix-free solver for nonlinear MPC and large-scale nonconvex optimization
Pieter Pas, Mathijs Schuurmans, Panagiotis Patrinos
This paper presents alpaqa, an open-source C++ implementation of an augmented Lagrangian method for nonconvex constrained numerical optimization, using the first-order PANOC algori…
Learning MPC for Interaction-Aware Autonomous Driving: A Game-Theoretic Approach
Brecht Evens, Mathijs Schuurmans, Panagiotis Patrinos
We consider the problem of interaction-aware motion planning for automated vehicles in general traffic situations. We model the interaction between the controlled vehicle and surro…
A General Framework for Learning-Based Distributionally Robust MPC of Markov Jump Systems
Mathijs Schuurmans, Panagiotis Patrinos
We present a learning model predictive control (MPC) scheme for chance-constrained Markov jump systems with unknown switching probabilities. Using samples of the underlying Markov…
Data-driven distributionally robust control of partially observable jump linear systems
Mathijs Schuurmans, Panagiotis Patrinos
We study safe, data-driven control of (Markov) jump linear systems with unknown transition probabilities, where both the discrete mode and the continuous state are to be inferred f…