Programme
Here is the programme for the ERNSI Workshop 2023.
24 September
17:00–20:00
Registration at Ersta hotell and conference
25 September
9:00–10:00
Florian Dörfler, ETH: Data-driven conrol based on behavioral systems theory.
11:45–12:15
Alessandro Chiuso, University of Padova: Data-driven control – the thin line between model based and model free.
14:00–15:00
Alexandre Proutiere, KTH: Finite-time analysis of linear system identification: sample complexity lower bounds and optimal algorithms.
15:30–16:45
Poster session and coffee break.
16:45–17:45
Vikram Krishnamurthy, Cornell University: Social sensing and inverse reinforcement learning.
26 September
9:00–10:00
Daniel Gedon, Uppsala University: Deep networks for system identification: a survey.
10:00–10:30
Paul Van Den Hof, Eindhoven University of Technology: Identification of local models in interconnected systems – confounding variables, data-informativity and MATLAB toolbox.
10:30–11:45
Poster session and coffee break.
11:45–12:15
Mingzhou Jin, ETH: Error bounds for Kernel-based linear system identification with unknown hyperparameters.
15:00–16:30
Ghost walk. Start at Järntorget 84 in Gamla stan, next to the statue of Evert Taube.
19:00
Dinner at Bringsalen and Norrbysalen.
27 September
9:00–9:30
Timothy Rogers, University of Sheffield: A bayesian view on stochastic subspace identification with extension to statistical robustness.
9:30–10:00
Gerben I. Beintema, Eindhoven University of Technology: Meta-state-space learning: A novel approach for the identification of stochastic dynamic systems.
10:00–10:30
Mohammad Khosravi, Delft University of Technology: Representer theorem for learning Koopman operators.
11:15-11:45
Matteo Scandella, Imperial College London: Kernel methods for identification of nonlinear systems.
11:45–12:15
Tomas MacKelvey, Chalmers University of Technology: Radar platform tracking for airborne bistatic systems.
