Data-driven Methods in Control (2)

Video recordings: https://www.youtube.com/watch?v=BREOsWbYmxM

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

Organizers:

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

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

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; timm.faulwasser@tuhh.de