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Fakultät für Elektrotechnik und Informationstechnik

Data-driven Methods in Control

Video recordings:

Date: July 8th 2021, 14h00 - 17h30 (CET)
Location: Zoom; no registration is required;; Passcode: 540526

  • Timm Faulwasser, TU Dortmund, Germany;
  • Karl Worthmann, TU Ilmenau, Germany;


Time (CET)
Title and Speaker
14h00 – 14h30 Gradient-enriched machine learning control – Taming turbulence made efficient, easy and fast!
Bernd Noack, Harbin Institute of Technology, China
14h30 – 15h00 Convolutional autoencoders for low-dimensional parameterizations of Navier-Stokes flow
Jan Heiland, MPI Magdeburg, Germany
15h00 – 15h30 Three perspectives on data-based optimal control
Matthias Müller, LU Hannover Germany
15h30 – 16h00 Coffee break
16h00 – 16h30 Data-Driven Skill Learning
Jan Peters, TU Darmstadt, Germany
16h30 – 17h00 A deep neural network approach for computing Lyapunov functions
Lars Grüne, U Bayreuth, Germany
17h00 – 17h30 On the universal transformation of data-driven models to control systems
Sebastian Peitz, U Paderborn, Germany

This event is the first of a new seminar series organized by the IFAC TC on Optimal control.

About the seminar series:

The CoViD-19 pandemic continues to jeopardize many conference activities. At the same time, all of us have also experienced successful editions of online events. Hence, the IFAC TC on Optimal Control is happy to announce its virtual seminar series comprising 2-3 events per year.

For further details contact:

  • Thulasi Mylvaganam, Imperial College London, UK;
  • Timm Faulwasser, TU Dortmund, Germany;

Further information: