most citedDual Stochastic MPC for Systems with Parametric and Structural Uncertainty

4 citations · 4 across the 3 of their papers we have counts for

collaborators

5 papers

eess.SY2020

Volume Control of Low-Cost Ventilator with Automatic Set-Point Adaptation

Lukas Hewing, Marcel Menner, Nikolaos Tachatos +6

This paper considers the control design for a low-cost ventilator that is based on a manual resuscitator bag (also known as AmbuBag) to pump air into the lungs of a patient who is…

eess.SY20194 cited

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…

cs.LG2019

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…

eess.SY2019

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…

eess.SY2019

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…