2020 Spring School on Data-driven Model Learning of Dynamic Systems

  • From 14 April 2020 to 17 April 2020
  • Ecole Centrale de Lyon

System identification is a discipline in control engineering allowing to obtain a mathematical model of a dynamical system from data collected on this system.

The fourth edition of this doctoral school in data-based modeling (system identification) will be organized on the campus of the Ecole Centrale de Lyon.

The school consists of a series of lectures and of exercise sessions aiming at covering the fundamentals of data-driven modeling approaches as well as more advanced topics. The course is eligible for scientific doctoral modules. The school is thus mainly aimed at an audience of PhD students, but is also open to any other persons interested in the topic of data-based modeling.

The 2020-edition will have the honour to welcome Professor Paul Van den Hof (TU Eindhoven, Pays-Bas) who will present a course entitled: "Dynamic Network Identification".

More information (program, registration fees, accommodation…) can be found on the event's website: spring-id-2020.sciencesconf.org

Registration deadline: 31 January 2020.