Combining Stochastic and Scenario Model Predictive Control to Handle Target Vehicle Uncertainty in an Autonomous Driving Highway Scenario. - Tim Brüdigam; Michael Olbrich; Marion Leibold; Dirk Wollherr (ITSC, 2018)

Grid-Based Stochastic Model Predictive Control for Trajectory Planning in Uncertain Environments. - Tim Brüdigam; Fulvio di Luzio; Lucia Pallottino; Dirk Wollherr; Marion Leibold (ITSC, 2020)

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

Minimization of Constraint Violation Probability in Model Predictive Control. - Tim Brüdigam; Victor Gaßmann; Dirk Wollherr; Marion Leibold (CoRR, 2020)

Model Predictive Control with Models of Different Granularity and a Non-uniformly Spaced Prediction Horizon. - Tim Brüdigam; Daniel Prader; Dirk Wollherr; Marion Leibold (ACC, 2021)

Multistage Stochastic Model Predictive Control for Urban Automated Driving. - Tommaso Benciolini; Tim Brüdigam; Marion Leibold (ITSC, 2021)

Collision Avoidance with Stochastic Model Predictive Control for Systems with a Twofold Uncertainty Structure. - Tim Brüdigam; Jie Zhan; Dirk Wollherr; Marion Leibold (ITSC, 2021)

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

(Stochastic) Model Predictive Control - a Simulation Example. - Tim Brüdigam (CoRR, 2021)

Gaussian Process-based Stochastic Model Predictive Control for Overtaking in Autonomous Racing. - Tim Brüdigam; Alexandre Capone; Sandra Hirche; Dirk Wollherr; Marion Leibold (CoRR, 2021)

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

Safe Stochastic Model Predictive Control. - Tim Brüdigam; Robert Jacumet; Dirk Wollherr; Marion Leibold (CDC, 2022)

Constraint Violation Probability Minimization for Norm-Constrained Linear Model Predictive Control. - Michael Fink; Tim Brüdigam; Dirk Wollherr; Marion Leibold (ECC, 2022)

Safe Stochastic Model Predictive Control. - Tim Brüdigam; Robert Jacumet; Dirk Wollherr; Marion Leibold; Francesco Borrelli (CoRR, 2022)

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

Stochastic Model Predictive Control With a Safety Guarantee for Automated Driving. - Tim Brüdigam; Michael Olbrich; Dirk Wollherr; Marion Leibold (IEEE Trans. Intell. Veh., 2023)

Minimal Constraint Violation Probability in Model Predictive Control for Linear Systems. - Michael Fink; Tim Brüdigam; Dirk Wollherr; Marion Leibold (IEEE Trans. Autom. Control., 2024)

Online Constraint Tightening in Stochastic Model Predictive Control: A Regression Approach. - Alexandre Capone; Tim Brüdigam; Sandra Hirche (IEEE Trans. Autom. Control., 2025)