Picture of Michael Fink

M.Sc. Michael Fink

Technical University of Munich

Chair of Automatic Control Engineering (Prof. Buss)

Postal address

Theresienstr. 90
80333 München

Place of employment

Chair of Automatic Control Engineering (Prof. Buss)

Theresienstr. 90(0105)/II
80333 München

Brief Biography

Since Nov. 2020

Research Assistant
Chair of Automatic Control Engineering
Technical University Munich, Germany (TUM)

2018-2020 Master of Science, Electrical Engineering and Information Technology
Focus: Automation and Robotics
Technical University Munich, Germany (TUM)

Bachelor of Engineering, Electrical Engineering and Information Technology

University of Applied Sciences Landshut, Germany

Research Interests

  • Model Predictive Control
  • Stochastic Model Predictive Control
  • Robust Model Predictive Control
  • Optimal Control

Minimizing Constraint Violation Probability in MPC

System uncertainty can be handled in different ways within MPC. Robust MPC, as the name indicates, robustly accounts for the uncertainty, often resulting in conservative solutions. While Stochastic MPC yields efficient solutions, a small probability of constraint violation is permitted, based on a predefined risk parameter. 

In contrast to Robust MPC and Stochastic MPC, we propose an MPC method (CVPM-MPC), which minimizes the probability that a constraint is violated while also optimizing other control objectives. The proposed method is capable of dealing with changing uncertainty and does not require to choose a risk parameter. CVPM-MPC can be reagarded as a link between Robust and Stochastic MPC.


Student Theses

If you are interested in my research and are looking for an internship or thesis, please feel free to contact me. Please let me know which topics you are interested in and when you would like to start. In order to find a topic that fits your knowledge and skills, please also send me your current grade report and, if possible, your CV (PDF).



  • Fink, Michael; Brüdigam, Tim; Wollherr, Dirk; Leibold, Marion: Constraint Violation Probability Minimization for Norm-Constrained Linear Model Predictive Control. 2022 European Control Conference (ECC), 2022, 839-846 more… Full text ( DOI )