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TC 2.4 on Optimal Control
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Organizers:
Timm Faulwasser, TU Dortmund, Germany
Karl Worthmann, TU Ilmenau, Germany
Date and Time: July 8th, 2021, 14:00-17h30 (CET)
00:00:00 , Introduction
00:00:15 , Bernd Noack: Gradient-enriched machine learning control – Taming turbulence made efficient, easy and fast!
00:32:15, Jan Heiland: Convolutional autoencoders for low-dimensional parameterizations of Navier-Stokes flow
01:03:00, Matthias Müller: Three perspectives on data-based optimal control
01:43:00, Lars Grüne: A deep neural network approach for computing Lyapunov functions
02:22:15, Sebastian Peitz: On the universal transformation of data-driven models to control systems
Timm Faulwasser, TU Dortmund, Germany
Karl Worthmann, TU Ilmenau, Germany
Date and Time: July 8th, 2021, 14:00-17h30 (CET)
00:00:00 , Introduction
00:00:15 , Bernd Noack: Gradient-enriched machine learning control – Taming turbulence made efficient, easy and fast!
00:32:15, Jan Heiland: Convolutional autoencoders for low-dimensional parameterizations of Navier-Stokes flow
01:03:00, Matthias Müller: Three perspectives on data-based optimal control
01:43:00, Lars Grüne: A deep neural network approach for computing Lyapunov functions
02:22:15, Sebastian Peitz: On the universal transformation of data-driven models to control systems