Virtual IFAC Seminar
Date: December 9th 2021, 13h00 - 15h30 (CET)
Location: Zoom; no registration is required; https://tu-dortmund.zoom.us/j/92158972707?pwd=SUJRUDBvV3RSS09SRUJDS2hMcVAzZz09 ; Passcode: 470478
Organizers:
- Timm Faulwasser, TU Dortmund, Germany; timm.faulwasser@tu-dortmund.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@tu-dortmund.de
Link to the first event of the seminar series: https://ie3.etit.tu-dortmund.de/details/ifac-seminar-10080/