I am an ADAS engineer at Audi of America. I was previously a controls PhD student at the Technical University of Munich, working at the Chair of Automatic Control Engineering.
My current research interest is 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!
2022 - present Sr. Development Engineer (ADAS), Audi of America
2017 – 2022 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)
Our paper Safe Stochastic Model Predictive Control was accepted for the IEEE Conference on Decision and Control 2022 (CDC). Check out the preprint here. (07/2022)
Last week, I've successfully defended my PhD. Thanks everyone who made my time in academia such a great experience! (07/2022)
I started a job as a Sr. Development Engineer (ADAS) at Audi of America in California. (03/2022)
I submitted my PhD thesis with the title Safety and Efficiency in Model Predictive Control for Systems with Uncertainty. (01/2022)
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)