Florian Messerer


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


Assisting in the organization of the following courses:

Recent Preprints

Fast System Level Synthesis: Robust Model Predictive Control using Riccati Recursions.
Antoine P. Leeman, Johannes Köhler, Florian Messerer, Amon Lahr, Moritz Diehl, Melanie N. Zeilinger
https://arxiv.org/abs/2401.13762, 2024.

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.

Efficient Zero-Order Robust Optimization for Real-Time Model Predictive Control with acados.
Jonathan Frey, Yunfan Gao, Florian Messerer, Amon Lahr, Melanie Zeilinger, Moritz Diehl
https://arxiv.org/pdf/2311.04557, 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.