Research Interest

• Püttschneider, J., Golembiewski, J., Wagner, N. A., Wietfeld, C., and Faulwasser, T., 2024. Towards Event-Triggered NMPC for Efficient 6G Communications: Experimental Results and Open Problems. arXiv Preprint.
• Schwarzbözl, P. Miadowicz, I., Maldonado Quinto, D., Golembiewski, J., Jörke, P., Faulwasser, T., Wietfeld, C., 2024. 5G as Communication Platform for Solar Tower Plants. In SolarPACES Conf. Proc.
• Golembiewski, J., Schmidt, M., Terschluse, B., Jaitner, T., Liebig, T. & Faulwasser, T., 2024. The dynamics of a bicycle on a pump track – first results on modeling and optimal control. at - Automatisierungstechnik.

• 5hine
• 6GEM

• Seminar: Advanced Topics in Control - Model Predictive Control and Reinforcement Learning: Wise 24/25
• Lecture: Nonlinear Model Predictive Control; Wise 23/24; at TU Dortmund
• Exercise: Nonlinear Model Predictive Control; Wise 23/24, Wise 22/23; at TU Dortmund
• Exercise: Distributed and Networked Control; Sose 23, Sose 22; at TU Dortmund
• Project Group: Advanced Control Methods for Cyber Physical Systems; Wise 22/23; at TU Dortmund
• Exercise: Practical Distributed Optimization in Julia; Sose 22; at TU Dortmund
• Project Group: HEAT - HIL-based End-to-End ReplicA of a 5G powered solar Thermical power plant; Sose 22; at TU Dortmund

Supervised Theses

• Master

  • Josh Kannemeyer, MPC Based Imitation Learning Approaches for Path Following Problems, 2024.

  • Jonas Stehr, Event-triggered Model Predictive Control for Networked Control Systems in 5G Networks, 2023.

  • Shehabeldin Housein, Safety-Aware Predictive Path Following Control For Mobile Industrial Robots, 2023.

  • Klara Otten, Nutzung von grünem Wasserstoff unter Berücksichtigung der Verbundflexibilität eines Chemiestandortes mit Eigenerzeugungsanlagen, 2023.