Combined Robust and Stochastic Model Predictive Control for Models of Different Granularity. - Tim Brüdigam; Johannes Teutsch; Dirk Wollherr; Marion Leibold (CoRR, 2020)

Probabilistic model predictive control for extended prediction horizons. - Tim Brüdigam; Johannes Teutsch; Dirk Wollherr; Marion Leibold; Martin Buss (Autom., 2021)

Data-driven stochastic model predictive control. - Sebastian Kerz; Johannes Teutsch; Tim Brüdigam; Dirk Wollherr; Marion Leibold (CoRR, 2021)

Offline Uncertainty Sampling in Data-driven Stochastic MPC. - Johannes Teutsch; Sebastian Kerz; Tim Brüdigam; Dirk Wollherr; Marion Leibold (CoRR, 2023)

An Online Adaptation Strategy for Direct Data-driven Control. - Johannes Teutsch; Sebastian Ellmaier; Sebastian Kerz; Dirk Wollherr; Marion Leibold (CoRR, 2023)

Constraint trajectory planning for redundant space robot. - Run Li; Ming Liu; Johannes Teutsch; Dirk Wollherr (Neural Comput. Appl., 2023)

Adaptive Stochastic Predictive Control from Noisy Data: A Sampling-based Approach. - Johannes Teutsch; Christopher Narr; Sebastian Kerz; Dirk Wollherr; Marion Leibold (CDC, 2024)

Sampling-based Stochastic Data-driven Predictive Control under Data Uncertainty. - Johannes Teutsch; Sebastian Kerz; Dirk Wollherr; Marion Leibold (CoRR, 2024)

Towards safe Bayesian optimization with Wiener kernel regression. - Oleksii Molodchyk; Johannes Teutsch; Timm Faulwasser (CoRR, 2024)