Tim Brüdigam

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 23

Top Topics

Model Predictive Control

Top Venues

IEEE Trans. Intell. Veh.

Publications

Michael Fink, Tim Brüdigam, Dirk Wollherr, Marion Leibold
Minimal Constraint Violation Probability in Model Predictive Control for Linear Systems. CoRR (2024)
Tim Brüdigam, Michael Olbrich, Dirk Wollherr, Marion Leibold
Stochastic Model Predictive Control With a Safety Guarantee for Automated Driving. IEEE Trans. Intell. Veh. 8 (1) (2023)
Johannes Teutsch, Sebastian Kerz, Tim Brüdigam, Dirk Wollherr, Marion Leibold
Offline Uncertainty Sampling in Data-driven Stochastic MPC. CoRR (2023)
Alexandre Capone, Tim Brüdigam, Sandra Hirche
Online Constraint Tightening in Stochastic Model Predictive Control: A Regression Approach. CoRR (2023)
Michael Fink, Tim Brüdigam, Dirk Wollherr, Marion Leibold
Constraint Violation Probability Minimization for Norm-Constrained Linear Model Predictive Control. ECC (2022)
Tim Brüdigam, Robert Jacumet, Dirk Wollherr, Marion Leibold, Francesco Borrelli
Safe Stochastic Model Predictive Control. CoRR (2022)
Tim Brüdigam, Robert Jacumet, Dirk Wollherr, Marion Leibold
Safe Stochastic Model Predictive Control. CDC (2022)
Tommaso Benciolini, Tim Brüdigam, Marion Leibold
Multistage Stochastic Model Predictive Control for Urban Automated Driving. ITSC (2021)
Tim Brüdigam, Johannes Teutsch, Dirk Wollherr, Marion Leibold, Martin Buss
Probabilistic model predictive control for extended prediction horizons. Autom. 69 (9) (2021)
Tommaso Benciolini, Tim Brüdigam, Marion Leibold
Multistage Stochastic Model Predictive Control for Urban Automated Driving. CoRR (2021)
Tim Brüdigam, Jie Zhan, Dirk Wollherr, Marion Leibold
Collision Avoidance with Stochastic Model Predictive Control for Systems with a Twofold Uncertainty Structure. ITSC (2021)
Tim Brüdigam
(Stochastic) Model Predictive Control - a Simulation Example. CoRR (2021)
Tim Brüdigam, Jie Zhan, Dirk Wollherr, Marion Leibold
Collision Avoidance with Stochastic Model Predictive Control for Systems with a Twofold Uncertainty Structure. CoRR (2021)
Tim Brüdigam, Daniel Prader, Dirk Wollherr, Marion Leibold
Model Predictive Control with Models of Different Granularity and a Non-uniformly Spaced Prediction Horizon. CoRR (2021)
Tim Brüdigam, Daniel Prader, Dirk Wollherr, Marion Leibold
Model Predictive Control with Models of Different Granularity and a Non-uniformly Spaced Prediction Horizon. ACC (2021)
Sebastian Kerz, Johannes Teutsch, Tim Brüdigam, Dirk Wollherr, Marion Leibold
Data-driven stochastic model predictive control. CoRR (2021)
Tim Brüdigam, Alexandre Capone, Sandra Hirche, Dirk Wollherr, Marion Leibold
Gaussian Process-based Stochastic Model Predictive Control for Overtaking in Autonomous Racing. CoRR (2021)
Tim Brüdigam, Michael Olbrich, Dirk Wollherr, Marion Leibold
Stochastic Model Predictive Control with a Safety Guarantee for Automated Driving. CoRR (2020)
Tim Brüdigam, Fulvio di Luzio, Lucia Pallottino, Dirk Wollherr, Marion Leibold
Grid-Based Stochastic Model Predictive Control for Trajectory Planning in Uncertain Environments. ITSC (2020)
Tim Brüdigam, Johannes Teutsch, Dirk Wollherr, Marion Leibold
Combined Robust and Stochastic Model Predictive Control for Models of Different Granularity. CoRR (2020)
Tim Brüdigam, Fulvio di Luzio, Lucia Pallottino, Dirk Wollherr, Marion Leibold
Grid-Based Stochastic Model Predictive Control for Trajectory Planning in Uncertain Environments. CoRR (2020)
Tim Brüdigam, Victor Gaßmann, Dirk Wollherr, Marion Leibold
Minimization of Constraint Violation Probability in Model Predictive Control. CoRR (2020)
Tim Brüdigam, Michael Olbrich, Marion Leibold, Dirk Wollherr
Combining Stochastic and Scenario Model Predictive Control to Handle Target Vehicle Uncertainty in an Autonomous Driving Highway Scenario. ITSC (2018)