100 citations · 251 across the 76 of their papers we have counts for
12 papers · 1 filter
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…
Dualities for non-Euclidean smoothness and strong convexity under the light of generalized conjugacy
Emanuel Laude, Andreas Themelis, Panagiotis Patrinos
Relative smoothness and strong convexity have recently gained considerable attention in optimization. These notions are generalizations of the classical Euclidean notions of smooth…
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…
Block Alternating Bregman Majorization Minimization with Extrapolation
Le Thi Khanh Hien, Duy Nhat Phan, Nicolas Gillis +2
In this paper, we consider a class of nonsmooth nonconvex optimization problems whose objective is the sum of a block relative smooth function and a proper and lower semicontinuous…
Massively parallelizable proximal algorithms for large-scale stochastic optimal control problems
Ajay K. Sampathirao, Panagiotis Patrinos, Alberto Bemporad +1
Scenario-based stochastic optimal control problems suffer from the curse of dimensionality as they can easily grow to six and seven figure sizes. First-order methods are suitable a…
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…