Programme for Virtual Seminar 9 December 2021

Virtual Seminar – IFAC TC on Optimal Control: Data-driven Methods in Control

Virtual Seminar – IFAC TC on Optimal Control

Data-driven Methods in Control

Date: December 9th 2021, 13h00 – 15h30 (CET)

Location: Zoom join here; Passcode: 470478 
If you have issues with the above link, please copy-paste the full address at the bottom of this page.


Schedule:

Time (CET)

Title and Speaker

13h00 – 13h40

On the Certainty-Equivalence Approach to Direct Data-Driven LQR Design
Pietro Tesi, University of Florence, Italy

13h40 – 14h20

Safe Adaptive Learning-based Control for Constrained Linear Quadratic Regulators with Regret Guarantees
Na Li, Harvard University, USA

14h20 – 14h30

Coffee break

14h30 – 15h10

Data-Enabled Predictive Control 

Florian Dörfler, ETH Zürich, Switzerland

15h10 – 15h30

Discussions


Organizers:

  • Timm Faulwasser, TU Dortmund, Germany; timm.faulwasser@tu-dortmund.de
  • Thulasi Mylvaganam, Imperial College London, UK; t.mylvaganam@imperial.ac.uk

Virtual Seminar Series – IFAC TC on Optimal Control

This is the second event of the Virtual Seminar series of the IFAC TC on Optimal Control. The series consists of two events per year, with each event dedicated to a specific area within optimal control and including talks by distinguished members of our community, as well as discussion sessions.

For further details please contact 

  • Thulasi Mylvaganam, Imperial College London, UK; t.mylvaganam@imperial.ac.uk
  • Timm Faulwasser, TU Dortmund, Germany; faulwasser@tu-dortmund.de

Zoom meeting link & passcode:

https://tu-dortmund.zoom.us/j/92158972707?pwd=SUJRUDBvV3RSS09SRUJDS2hMcVAzZz09 ; Passcode: 470478