EE-607 / 4 crédits

Enseignant(s): Paolone Mario, Frigo Guglielmo

Langue: Anglais

Remark: Next time: Fall 2021


Frequency

Every year

Summary

This course introduces the principles of model identification for non-linear dynamic systems, and provides a set of possible solution methods that are thoroughly characterized in terms of modelling assumptions and uncertainty levels.

Content

Keywords

Model identification, non-linear system.

Learning Prerequisites

Required courses

Basics in linear algebra, probability, automatics.

Assessment methods

Project report.

Dans les plans d'études

  • Nombre de places: 20
  • Forme de l'examen: Rapport de TP (session libre)
  • Matière examinée: Advanced Methods for Model Identification
  • Cours: 34 Heure(s)
  • TP: 8 Heure(s)
  • Nombre de places: 20
  • Forme de l'examen: Rapport de TP (session libre)
  • Matière examinée: Advanced Methods for Model Identification
  • Cours: 34 Heure(s)
  • TP: 8 Heure(s)

Semaine de référence