Tim Brüdigam

According to our database, Tim Brüdigam authored at least 18 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Minimal Constraint Violation Probability in Model Predictive Control for Linear Systems.

Michael Fink, Tim Brüdigam, Dirk Wollherr, Marion Leibold

IEEE Trans. Autom. Control., October, 2024

2023

Stochastic Model Predictive Control With a Safety Guarantee for Automated Driving.

Tim Brüdigam, Michael Olbrich, Dirk Wollherr, Marion Leibold

IEEE Trans. Intell. Veh., January, 2023

Online Constraint Tightening in Stochastic Model Predictive Control: A Regression Approach.

Alexandre Capone, Tim Brüdigam, Sandra Hirche

CoRR, 2023

Offline Uncertainty Sampling in Data-driven Stochastic MPC.

Johannes Teutsch, Sebastian Kerz, Tim Brüdigam, Dirk Wollherr, Marion Leibold

CoRR, 2023

2022

Safe Stochastic Model Predictive Control.

Tim Brüdigam, Robert Jacumet, Dirk Wollherr, Marion Leibold, Francesco Borrelli

CoRR, 2022

Constraint Violation Probability Minimization for Norm-Constrained Linear Model Predictive Control.

Michael Fink, Tim Brüdigam, Dirk Wollherr, Marion Leibold

Proceedings of the European Control Conference, 2022

Safe Stochastic Model Predictive Control.

Tim Brüdigam, Robert Jacumet, Dirk Wollherr, Marion Leibold

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

Data-driven stochastic model predictive control.

Sebastian Kerz, Johannes Teutsch, Tim Brüdigam, Dirk Wollherr, Marion Leibold

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

(Stochastic) Model Predictive Control - a Simulation Example.

Tim Brüdigam

CoRR, 2021

Probabilistic model predictive control for extended prediction horizons.

Tim Brüdigam, Johannes Teutsch, Dirk Wollherr, Marion Leibold, Martin Buss

Autom., 2021

Collision Avoidance with Stochastic Model Predictive Control for Systems with a Twofold Uncertainty Structure.

Tim Brüdigam, Jie Zhan, Dirk Wollherr, Marion Leibold

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Multistage Stochastic Model Predictive Control for Urban Automated Driving.

Tommaso Benciolini, Tim Brüdigam, Marion Leibold

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Model Predictive Control with Models of Different Granularity and a Non-uniformly Spaced Prediction Horizon.

Tim Brüdigam, Daniel Prader, Dirk Wollherr, Marion Leibold

Proceedings of the 2021 American Control Conference, 2021

2020

Minimization of Constraint Violation Probability in Model Predictive Control.

Tim Brüdigam, Victor Gaßmann, Dirk Wollherr, Marion Leibold

CoRR, 2020

Combined Robust and Stochastic Model Predictive Control for Models of Different Granularity.

Tim Brüdigam, Johannes Teutsch, Dirk Wollherr, Marion Leibold

CoRR, 2020

Grid-Based Stochastic Model Predictive Control for Trajectory Planning in Uncertain Environments.

Tim Brüdigam, Fulvio di Luzio, Lucia Pallottino, Dirk Wollherr, Marion Leibold

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

2018

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

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018