Seminar Series: Deep Learning in Control

Event: Seminar Series: Deep Learning in Control
Speaker: Prof. Dr. Jan Heiland
Affiliation: MPI for Dynamics of Complex Technical Systems | OvG University Magdeburg
Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany)

WHERE?

Join this seminar series at: Virtual meeting link (all sessions)

During January and February 2022, our colleague Jan Heiland from MPI for Dynamics of Complex Technical Systems and OvG University Magdeburg, will give the Seminar Series “Deep Learning in Control”, with the following sessions:

S01: “Neural Nets as Systems Models and Controllers”
Mon. January 17, 2022 • 11:00H
A fundamental discussion on how neural networks can be used in systems and control with basic proofs of approximation.
E.D. Sontag, 1992

S02: “Complete controllability of continuous-time recurrent neural networks”
Thu. January 20, 2022 • 11:00H
Controllability for the class of control systems commonly called (continuous-time) recurrent neural networks.
E.D. Sontag, H.J. Sussmann, 1997

S03: “Other and recent developments in the use of neural networks in systems and control”
Mon. January 31, 2022 • 11:00H
The results from the literature review

S04: TBA
Thu. February 17, 2022 • 11:00H

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