Systems Theory and Automatic Control

M.Sc. Tim Zieger

Hannes Rewald

Ph.D. Student

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


room:

G07 - 209

phone:

(+49) 0391-67 58776

fax:

(+49) 0391-67 11191

email:

tim.ziegerno-spam@ovgu.de

Research Interests

  • Neural network supported model predictive control
  • Stability of neural network interconnected Systems
  • Machine learning methods for model identification
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Proceedings (peer reviewed)

[5] H. H. Nguyen, T. Zieger, S. C. Wells, A. Nikolakopoulou, R. D. Braatz, and R. Findeisen. Stability certificates for neural network learning-based controllers using robust control theory. In 2021 American Control Conference (ACC), pages 3564--3569, New Orleans, USA, 2021.
[4] H. H. Nguyen, T. Zieger, R. D. Braatz, and R. Findeisen. Robust control theory based stability certificates for neural network approximated nonlinear model predictive control. In Proceedings of 7th Nonlinear Model Predictive Control Conference (NMPC), pages 347--352, Bratislava, Slovakia, 2021.
[3] T. Zieger, A. Savchenko, T. Oehlschlägel, and R. Findeisen. One-step safe neural network supported control. In 2021 American Control Conference (ACC), New Orleans, USA, 2021.
[2] H. H. Nguyen, J. Matschek, T. Zieger, A. Savchenko, N. Noroozi, and R. Findeisen. Towards nominal stability certification of deep learning-based controllers. In 2020 American Control Conference (ACC), pages 3886--3891, Denver, CO, USA, 2020.
[1] T. Zieger, A. Savchenko, T. Oehlschlägel, and R. Findeisen. Towards safe neural network supported model predictive control. Berlin, Germany, 2020.

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Teaching Activity

Courses:

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Thesis and Student Projects

If you are interested in doing your thesis on Model Predictive Control in the context of robotics or autonomous driving, don't hesitate to contactno-spam me!
Send me a short e-mail with the following information, this may increase your chances of being considered as a candidate:
- a brief description of who you are: name, study program, time planned for developing the project,
- A transcript of your grades from Bachelor and Master studies (pdf-file),
- which project are you interested in,
- a clear statement of why you think you could succesfully complete the project,
- A curriculum vitae (max. one page) with the information that is relevant to the project (do not include hobbies or primary school info, for example) (pdf-file).

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