Prof. Dr.-Ing. Rolf Findeisen

Control and Cyber-Physical Systems

Head of Control and Cyber-Physical Systems Laboratory

Contact

work +49 6151 16-25200
fax +49 6151 16-25172

Work S3|10 504
Landgraf-Georg-Str. 4
64283 Darmstadt

Rolf Findeisen studied technical cybernetics at the University of Stuttgart and process engineering with a focus on control engineering at the University of Wisconsin – Madison in the USA. Findeisen: Control engineering and systems theory allow a wide variety of applications and problems to be addressed. One of the central questions here is to develop methods with the help of which systems can be mathematically modeled, optimized and influenced." Rolf Findeisen decided to pursue a career in science at a very early age, so after spending time at the University of Wisconsin, he began his doctoral studies at ETH Zurich's Institute of Automatic Control. In 1999, Findeisen followed his doctoral supervisor, Leibniz Prize winner Frank Allgöwer, back to the University of Stuttgart, where he was actively involved in establishing the Institute for Systems Theory and Control Engineering. In 2004, he completed his doctorate with distinction. From 2004 on, he was a research assistant and lecturer at the University of Stuttgart, interrupted by guest stays at the Norwegian University of Science and Technology (NTNU), the University of California, Santa Barbara, USA, the University of Sannio, Benevento, Italy , and Imperial College London. In December 2007, Rolf Findeisen was appointed university professor and head of the Chair of Systems Theory and Control Engineering at the Institute of Automatic Control at Otto von Guericke University Magdeburg. Since August 2021, he has been professor and head of Control and Cyberphysical Systems at the Institute of Automatic Control and Mechatronics at Technical University of Darmstadt.

In research, Professor Findeisen is engaged in method development in the area of systems theory and control engineering, as well as application in various disciplines (mechatronics, biology, process engineering, nanotechnology, medical engineering, automotive engineering). The focus is on optimization-based and predictive control; systems biology; analysis of complex nonlinear systems; nonlinear structure and parameter identification; and control of complex, distributed systems via communication networks.

In the context of teaching, Professor Findeisen is committed to basic education in the field of control engineering and systems theory, predominantly for the degree programs in systems process engineering and cybernetics, bioprocess engineering, electrical engineering, mechatronics. In addition, he and the members of his chair offer a number of specialization lectures ranging from control engineering, optimization-based control methods, to systems biology.

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