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Researcher
Peter Coppens
- Disciplines:Calculus of variations and optimal control, optimisation, Systems theory, control, Machine learning and decision making
Affiliations
- Dynamical Systems, Signal Processing and Data Analytics (STADIUS) (Division)
Member
From1 Aug 2020 → Today - ESAT - STADIUS, Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics (Division)
Member
From4 Jul 2016 → 31 Jul 2020
Projects
1 - 1 of 1
- Provable Safe Learning-based Control of Uncertain SystemsFrom1 Sep 2019 → 31 Oct 2023Funding: FWO fellowships
Publications
1 - 5 of 5
- Data-Driven Distributionally Robust MPC for Constrained Stochastic Systems(2022)
Authors: Peter Coppens, Panos Patrinos
Pages: 1274 - 1279 - Sample Complexity of Data-Driven Stochastic LQR with Multiplicative Uncertainty(2020)
Authors: Peter Coppens, Panos Patrinos
Pages: 6210 - 6215 - Data-driven distributionally robust LQR with multiplicative noise(2020)
Authors: Peter Coppens, Mathijs Schuurmans, Panos Patrinos
Pages: 521 - 530 - A New Heuristic Approach for Low-Thrust Spacecraft Trajectory Optimization(2020)
Authors: Peter Coppens, Ben Hermans, Goele Pipeleers, Panos Patrinos
Pages: 6490 - 6495 - Distributed Coordination, Transportation & Localisation in Industry 4.0(2018)
Authors: Ruben Van Parys, Maarten Verbandt, Marcus Kotzé, Peter Coppens, Jan Swevers, Herman Bruyninckx, Johan Philips, Goele Pipeleers
Number of pages: 8