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Department of Data Science

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  4. Data Driven Design of Dynamical Systems

Data Driven Design of Dynamical Systems

In page navigation: Research
  • Agile Teams
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Data Driven Design of Dynamical Systems

Prof. Dr. Jan Heiland

Department of Data Science (DDS)
Professur für Data Driven Design of Dynamical Systems

Room: Room 03.362
Cauerstr. 11
91058 Erlangen
  • Email: jan.heiland@fau.de
  • Website: https://www.datascience.nat.fau.eu/research/groups/ddods/

 

Seminar Series on: Deep Learning in Control

Join this seminar series at: Virtual meeting link (all 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”
Thu. February 3, 2022 • 11:00H
The results from the literature review

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

Department of Data Science
Friedrich-Alexander-Universität Erlangen-Nürnberg

Cauerstr. 11
91058 Erlangen
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