Short Bio

Florian Messerer received a B.Sc. in Microsystems Engineering from the University of Freiburg, Germany, in 2016 and a M.Sc. in Mathematical Engineering from KU Leuven, Belgium, in 2018. He then came back to Freiburg to join the Laboratory for Systems, Control and Optimization as research and teaching assistant. Since March 2020, he is pursuing a PhD under the supervision of Prof. Moritz Diehl, since January 2022 as an associated fellow of the Marie-Skłodowska-Curie project ELO-X.

Research Interests

• Uncertainty-aware model predictive control
  • Robust, stochastic and dual
  • Efficient formulations and algorithms
• Sequential convex programming and generalized Gauss-Newton methods

Teaching

Assisting in the organization of the following courses:

• semester course on numerical optimization, since WS2018/19
• semester course on numerical optimal control, since SS2019
• semester course on optimization, since WS2019/20
• block course on model predictive control and reinforcement learning, summer 2022

Recent Preprints

Approximate propagation of normal distributions for stochastic optimal control of nonsmooth systems.
Florian Messerer, Katrin Baumgärtner, Armin Nurkanović, Moritz Diehl
https://arxiv.org/abs/2308.03431, 2023.

LCQPow - A Solver for Linear Complementarity Quadratic Programs.
Jonas Hall, Armin Nurkanovic, Florian Messerer, Moritz Diehl
https://arxiv.org/abs/2211.16341, 2022.

Also see my google scholar page and my arXiv list.