I am a controls PhD student at the Technical University of Munich, working at the Chair of Automatic Control Engineering. I am currently a visiting PhD student at the University of California, Berkeley, in Francesco Borrelli's lab.
My current research focuses on developing enhanced Model Predictive Control (MPC) methods, especially for application to automated vehicles.
Feel free to check out the content on this site or contact me!
2017 – present PhD student, Technical University of Munich (TUM)
2021 Visiting researcher, University of California, Berkeley
2016 Visiting researcher, California Institute of Technology
2014 – 2017 Master of Science, Electrical Engineering, TUM
2014 Visiting researcher, University of South Carolina
2011 – 2014 Bachelor of Science, Electrical Engineering, TUM
(alternative spelling for my name: Tim Bruedigam)
I gave a 5 minute talk at the seminar The Future of Mobility, organized by Wolf Theiss. The talk is about safety of automated vehicles. (10/2021)
Check out Michael Fink's MPC introduction (including a simple code example): https://arxiv.org/abs/2109.11986
Our work on Probabilistic model predictive control for extended prediction horizons was published in at - Automatisierungstechnik. (09/2021)
Our work on minimizing constraint violation probability in MPC was published by the International Journal of Robust and Nonlinear Control. (06/2021)
The video of our ICRA 2021 presentation is available here. (06/2021)
Alexandre Capone and I will present our work on Gaussian Process-based Stochastic Model Predictive Control for Overtaking in Autonomous Racing in the ICRA 2021 workshop Opportunities and Challenges with Autonomous Racing on May 31. (05/2021)
I have joined Francesco Borrelli's MPC Lab at UC Berkeley as a visiting researcher until October 2021. (05/2021)
Congratulations to my former master student (and now colleague) Michael Fink for winning the Kurt Fischer Award for his outstanding master thesis. (04/2021)
Our paper Stochastic Model Predictive Control with a Safety Guarantee for Automated Driving was accepted for publication in the IEEE Transactions on Intelligent Vehicles (https://ieeexplore.ieee.org/document/9410387) (04/2021)