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2020 – today
- 2024
[j3]Michael Fink
, Tim Brüdigam, Dirk Wollherr, Marion Leibold:
Minimal Constraint Violation Probability in Model Predictive Control for Linear Systems. IEEE Trans. Autom. Control. 69(10): 7043-7050 (2024)- [i14]Michael Fink, Tim Brüdigam, Dirk Wollherr, Marion Leibold:
Minimal Constraint Violation Probability in Model Predictive Control for Linear Systems. CoRR abs/2402.10538 (2024) - 2023
- [j2]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): 22-36 (2023) - [i13]Johannes Teutsch, Sebastian Kerz, Tim Brüdigam, Dirk Wollherr, Marion Leibold:
Offline Uncertainty Sampling in Data-driven Stochastic MPC. CoRR abs/2304.03088 (2023) - [i12]Alexandre Capone, Tim Brüdigam, Sandra Hirche:
Online Constraint Tightening in Stochastic Model Predictive Control: A Regression Approach. CoRR abs/2310.02942 (2023) - 2022
- [c7]Tim Brüdigam, Robert Jacumet, Dirk Wollherr, Marion Leibold:
Safe Stochastic Model Predictive Control. CDC 2022: 1796-1802 - [c6]Michael Fink, Tim Brüdigam, Dirk Wollherr, Marion Leibold:
Constraint Violation Probability Minimization for Norm-Constrained Linear Model Predictive Control. ECC 2022: 839-846 - [i11]Tim Brüdigam, Robert Jacumet, Dirk Wollherr, Marion Leibold, Francesco Borrelli:
Safe Stochastic Model Predictive Control. CoRR abs/2204.06207 (2022) - 2021
- [j1]Tim Brüdigam, Johannes Teutsch, Dirk Wollherr, Marion Leibold, Martin Buss:
Probabilistic model predictive control for extended prediction horizons. Autom. 69(9): 759-770 (2021) - [c5]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: 3876-3881 - [c4]Tommaso Benciolini, Tim Brüdigam, Marion Leibold:
Multistage Stochastic Model Predictive Control for Urban Automated Driving. ITSC 2021: 417-423 - [c3]Tim Brüdigam, Jie Zhan, Dirk Wollherr, Marion Leibold:
Collision Avoidance with Stochastic Model Predictive Control for Systems with a Twofold Uncertainty Structure. ITSC 2021: 432-438 - [i10]Tim Brüdigam:
(Stochastic) Model Predictive Control - a Simulation Example. CoRR abs/2101.12020 (2021) - [i9]Tim Brüdigam, Alexandre Capone, Sandra Hirche, Dirk Wollherr, Marion Leibold:
Gaussian Process-based Stochastic Model Predictive Control for Overtaking in Autonomous Racing. CoRR abs/2105.12236 (2021) - [i8]Tim Brüdigam, Jie Zhan, Dirk Wollherr, Marion Leibold:
Collision Avoidance with Stochastic Model Predictive Control for Systems with a Twofold Uncertainty Structure. CoRR abs/2106.08463 (2021) - [i7]Tommaso Benciolini, Tim Brüdigam, Marion Leibold:
Multistage Stochastic Model Predictive Control for Urban Automated Driving. CoRR abs/2107.00529 (2021) - [i6]Tim Brüdigam, Daniel Prader, Dirk Wollherr, Marion Leibold:
Model Predictive Control with Models of Different Granularity and a Non-uniformly Spaced Prediction Horizon. CoRR abs/2108.08014 (2021) - [i5]Sebastian Kerz, Johannes Teutsch, Tim Brüdigam, Dirk Wollherr, Marion Leibold:
Data-driven stochastic model predictive control. CoRR abs/2112.04439 (2021) - 2020
- [c2]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: 1-8 - [i4]Tim Brüdigam, Johannes Teutsch, Dirk Wollherr, Marion Leibold:
Combined Robust and Stochastic Model Predictive Control for Models of Different Granularity. CoRR abs/2003.06652 (2020) - [i3]Tim Brüdigam, Victor Gaßmann, Dirk Wollherr, Marion Leibold:
Minimization of Constraint Violation Probability in Model Predictive Control. CoRR abs/2006.02337 (2020) - [i2]Tim Brüdigam, Fulvio di Luzio, Lucia Pallottino, Dirk Wollherr, Marion Leibold:
Grid-Based Stochastic Model Predictive Control for Trajectory Planning in Uncertain Environments. CoRR abs/2007.12430 (2020) - [i1]Tim Brüdigam, Michael Olbrich, Dirk Wollherr, Marion Leibold:
Stochastic Model Predictive Control with a Safety Guarantee for Automated Driving. CoRR abs/2009.09381 (2020)
2010 – 2019
- 2018
- [c1]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: 1317-1324
Coauthor Index
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