571 citations · 845 across the 12 of their papers we have counts for
5 papers · 1 filter
Dual Stochastic MPC for Systems with Parametric and Structural Uncertainty
Elena Arcari, Lukas Hewing, Max Schlichting +1
Designing controllers for systems affected by model uncertainty can prove to be a challenge, especially when seeking the optimal compromise between the conflicting goals of identif…
On Simulation and Trajectory Prediction with Gaussian Process Dynamics
Lukas Hewing, Elena Arcari, Lukas P. Fröhlich +1
Established techniques for simulation and prediction with Gaussian process (GP) dynamics often implicitly make use of an independence assumption on successive function evaluations…
An Approximate Dynamic Programming Approach for Dual Stochastic Model Predictive Control
Elena Arcari, Lukas Hewing, Melanie N. Zeilinger
Dual control explicitly addresses the problem of trading off active exploration and exploitation in the optimal control of partially unknown systems. While the problem can be cast…
Probabilistic model predictive safety certification for learning-based control
Kim P. Wabersich, Lukas Hewing, Andrea Carron +1
Reinforcement learning (RL) methods have demonstrated their efficiency in simulation environments. However, many applications for which RL offers great potential, such as autonomou…
Recursively Feasible Stochastic Model Predictive Control using Indirect Feedback
Lukas Hewing, Kim P. Wabersich, Melanie N. Zeilinger
We present a stochastic model predictive control (MPC) method for linear discrete-time systems subject to possibly unbounded and correlated additive stochastic disturbance sequence…