This image shows Jonas Nicodemus

Jonas Nicodemus

PhD Researcher

Contact

Universitätsstraße 32
70569 Stuttgart
Deutschland
Room: 226B

Subject

Data-Integrated Low-Dimensional Surrogate Models with Guarantees
We study the identification of port-Hamiltonian systems from given data. Port-Hamiltonian systems guarantee physical properties such as passivity, which leads to the preservation of the physical behavior when the systems are coupled. We also develop novel structure-preserving model order reduction strategies to enable rapid evaluation of the identified models.

  1. T. Holicki, J. Nicodemus, P. Schwerdtner, and B. Unger, “Energy matching in reduced passive and port-Hamiltonian systems,” arXiv, 2023. doi: 10.48550/ARXIV.2309.05778.
  2. R. Morandin, J. Nicodemus, and B. Unger, “Port-Hamiltonian Dynamic Mode Decomposition,” SIAM Journal on Scientific Computing, vol. 45, no. 4, Art. no. 4, Jul. 2023, doi: 10.1137/22m149329x.
  3. R. Morandin, J. Nicodemus, and B. Unger, “Port-Hamiltonian Dynamic Mode Decomposition,” ArXiv e-print 2204.13474, 2022, doi: 10.48550/arXiv.2204.13474.
  4. J. Nicodemus, J. Kneifl, J. Fehr, and B. Unger, “Physics-informed Neural Networks-based Model Predictive Control for Multi-link Manipulators,” ArXiv e-print 2109.10793, 2021, [Online]. Available: https://arxiv.org/abs/2109.10793
  • 2021 Master of Science in Engineering Cybernetics, University of  Stuttgart
  • 2015 - 2021 Research Associate at the Institute of Engineering and Computational Mechanics, University of Stuttgart
  • 2018 - 2020 Working Student Bosch SoftTec GmbH, Berlin
  • 2018 Bachelor of Science in Engineering Cybernetics, University of Stuttgart
  • 2014 - 2016 Working Student Robert-Bosch Start-up GmbH, Ludwigsburg

Invited Talks

  • Towards Dynamic Mode Decomposition and Port-Hamiltonian Systems in pyMOR
    pyMOR school 2022 (online), Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, August 2022.

Minisymposium Talks

  • Physics-informed Neural Networks-based Model Predictive Control for Multi-link Manipulators
    MATHMOD 2022, 10th Vienna International Conference on Mathematical Modelling, Vienna, July 2022.

Selected other talks and poster

  • Data-driven Discovery of Linear Time-Invariant Port-Hamiltonian Systems
    GAMM Annual Meeting 2022, Aachen, August 2022.
  • Towards the Identification of Port-Hamiltonian Systems
    Young Mathematicians in Model Order Reduction, Mathematics Münster, July 2022.
  • Identification of Passive Linear Time-Invariant Systems from Time Domain Data (Poster)
    Workshop "Trends on Dissipativity in Systems and Control”, UniDistance Suisse, Brig, May 2022.
  • Physics-Informed Neural Networks-based Model Predictive Control
    Advanced Topics in Simulation Science Seminar, University of Stuttgart, November 2021.
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