CCPS Laboratory
to the Control and Cyber-Physical Systems Laboratory (CCPS) at the TU Darmstadt. Our research focuses at the interplay of control engineering, machine learning, systems theory and optimization.
PhD defense of Johannes Stockhammer
October 31st, 2025: Johannes Stockhammer successfully defends his dissertation!
Under the watchful eyes and ears of Athena and the examination board, Mr. Stockhammer gave his presentation and was intensively tested in his knowledge.
CCPS Talks: Thesis Defenses
Tuesday, 11 November 2025, 14:30, Room S3|10 406A and via Zoom
Patrick Pedzimaz: Modellprädiktiver Abstandsregeltempomat
CCPS Talks: Thesis Defenses
Thursday, 06 November 2025, 14:00, Room S3|10 406A and via Zoom
Felix Pietrek: Modellprädiktive Regelung und Trajektorienplanung für das automatisierte Fahren
Tutors wanted for laboratory Matlab/Simulink II
New publication: “Exploiting Prior Knowledge in Preferential Learning of Individualized Autonomous Vehicle Driving Styles”
Lukas Theiner, Sebastian Hirt, Alexander Steinke, Rolf Findeisen
New publication: “Safe Learning-Based Optimization of Model Predictive Control: Application to Battery Fast-Charging”
Sebastian Hirt, Andreas Höhl, Johannes Pohlodek, Joachim Schaeffer, Maik Pfefferkorn, Richard D. Braatz and Rolf Findeisen
New publication: “Safe and High-Performance Learning of Model Predictive Control using Kernel-Based Interpolation”
Alexander Rose, Philipp Schaub und Rolf Findeisen
New publication: “Mitigation of Distribution Shifts for Data-Based Virtual Sensors”
Kenzo Uhlig, Michael Hilsch, Eric Lenz, Matthias Woehrle and Rolf Findeisen
New publication: “Real-World Data-Driven Analysis of Environment- and Context-Dependent Driving Behavior”
Christian Zink, Eric Lenz, Jonas Kaste, Dirk Dobkowitz, Felix Kallmeyer and Rolf Findeisen
Safe Physics-informed Machine Learning for Dynamics and Control
Ján Drgoňa, Truong X. Nghiem, Thomas Beckers, Mahyar Fazlyab, Enrique Mallada, Colin Jones, Draguna Vrabie, Steven L. Brunton and Rolf Findeisen
New publication: “Efficient Learning of Vehicle Controller Parameters via Multi-Fidelity Bayesian Optimization: From Simulation to Experiment”
Yongpeng Zhao, Maik Pfefferkorn, Maximilian Templer, Rolf Findeisen
The Laboratory of Control and Cyber-Physical Systems (CCPS) is part of the Institute of Automatic Control and Mechatronics (iat).