1 code implementation • 17 May 2021 • Alexander von Rohr, Matthias Neumann-Brosig, Sebastian Trimpe
Probabilistic models such as Gaussian processes (GPs) are powerful tools to learn unknown dynamical systems from data for subsequent use in control design.
no code implementations • 15 Dec 2018 • Matthias Neumann-Brosig, Alonso Marco, Dieter Schwarzmann, Sebastian Trimpe
Bayesian optimization is proposed for automatic learning of optimal controller parameters from experimental data.