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-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

Katrin Baumgärtner, Florian Messerer, Moritz Diehl. Local Convergence Behaviour of Generalized Gauss-Newton Multiple Shooting, Single Shooting and Differential Dynamic Programming. https://arxiv.org/abs/2301.04047, 2023.

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

Andrea Ghezzi, Florian Messerer, Jacopo Balocco, Vincenzo Manzoni, Moritz Diehl. An implicit and explicit dual model predictive control formulation for a steel recycling process. https://arxiv.org/abs/2204.02282, 2022.

Also see my google scholar page and my arXiv list.