Program

PROGRAM OF THE 4th SPRING SCHOOL on

Data-Driven Model Learning of Dynamic Systems

UPDATE 15 March 2021: The program and the zoom links to attend the lectures have been sent to the participants on Monday 15 March 2021. If you did not receive this mail, please, contact the organizers.

TUESDAY 6 APRIL (afternoon) - WEDNESDAY 7 APRIL (all day)

Lecturer: Xavier Bombois, CNRS Research Director, Laboratoire Ampère, Ecole Centrale de Lyon 

Topic: linear system identification

Theme 1: Introduction;concepts; identification cycle

Theme 2: Parametric (prediction error) identification methods: prediction criterion and model structures, linear and pseudo-linear regressions, conditions on data, statistical and asymptotic properties, model set selection and model validation

Theme 3: Non-parametric identification (ETFE)

Theme 4: Experiment design.

Exercises : getting hands on the different concepts using computer exercises (Matlab System Identification toolbox).

THURSDAY 8 APRIL

Lecturer: Paul Van den Hof, Professor, TU Eindhoven, The Netherlands

Topic: dynamic network identification

Theme 1: closed-loop identification

Theme 2: dynamic network identification

FRIDAY 9 APRIL (morning)

Lecturer: Laurent Bako, Associate Professor, Laboratoire Ampère, Ecole Centrale de Lyon

Topic: hybrid system identification

Theme 1: From sparsity-inducing optimization to robust regression

Theme 2: Application to hybrid system identification

FRIDAY 9 APRIL (afternoon)

Lecturer: Xavier Bombois, CNRS Research Director, Laboratoire Ampère, Ecole Centrale de Lyon

Topic: design of optimal identification experiments

Theme 1: Formulation as an optimization problem, accuracy and cost constraint

Theme 2: convexification of the optimization problem, parametrization of the to-be-design power spectrum

Theme 3: Alternative formulations, least costly experiment design