Systems Theory and Automatic Control

Dr.-Ing. Andreas Himmel

Postdoctoral Researcher

Institute for Automation Engineering (IFAT)
Laboratory for Systems Theory and Automatic Control
Otto-von-Guericke University Magdeburg
39106 Magdeburg, Germany


G07 - 005


(+49) 0391-67 57564


(+49) 0391-67 41191


Research Interests

My current research interests are focused on:

  • Optimization-based, Nonlinear and Hierarchical control
  • Gaussian Processes and Learning-based approaches in control
  • Application in Process system engineering and Battery management systems



  • A. Himmel, S. Sager, K. Sundmacher. Time-minimal set pointtransition for nonlinear SISO systems under different constraints. Automatica, 114:108806, 2020

Conference Papers/Proceedings (peer-reviewed)

  • J. Matschek, A. Himmel, and R. Findeisen. Constrained learning for model predictive control in reference tracking tasks. In 19thIFAC Symposiumon System Identification, 2021, submitted
  • J. Matschek, A. Himmel, K. Sundmacher, and R. Findeisen. Constrained Gaussian process learning for model predictive control. In IFAC WorldCongress, 2020, to appear.
  • A. Himmel, S. Sager, and K. Sundmacher. Set point tracking of a biogas plant coupled to a methanation reactor. In Computer Aided ChemicalEngineering, 40, 1645–1650, 2017.
  • A. Himmel, L. Rihko-Struckmann, S. Sager, and K. Sundmacher. Modellgestützte optimale Steuerung von Biogasanlagen. Chemie IngenieurTechnik, 88(9), 1349–1350, 2016.
  • J. Matschek, A. Himmel, F. von Haeseler, E. Bullinger, M. Skalej, R. Findeisen. Mathematical Modelling and Sensitivity Analysis of Multipolar Radiofrequency Ablation in the Spine. 9th IFAC Symposium on Biological and Medical Systems (BMS), pages 243-248, Berlin, Germany 2015.
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Teaching Activity



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Supervised student projects, Bachelor's and Master's Theses


  • Slow-Interaction converter-driven stability in weak ac networks: An approach for detection and counteraction in bulk power system studies (Daniel Pabon Ospina)


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