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CNRS Ecole Centrale de Lyon Université de Lyon Université Lyon 1 INSA de Lyon

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Ingénierie@Lyon



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Les événements de mai 2026

Séminaire

  • Séminaires Ampère

    • Mercredi 20 mai de 12h30 à 14h00 - Maté Kiss - TU Eindhoven

      Séminaire "Data-Driven Model Completion : from experimental design to interpretable models"

      Résumé : The quality of a model resulting from (black-box) system identification is highly dependent on the quality of the data that is used during the identification procedure. Designing experiments for linear time-invariant systems is well understood and mainly focus on the power spectrum of the input signal. Performing experiment design for nonlinear system identification on the other hand remains an open challenge as informativity of the data depends both on the frequency-domain content and on the time-domain evolution of the input signal. Furthermore, as nonlinear system identification is much more sensitive to modelling and extrapolation errors, having experiments that explore the considered operation range of interest is of high importance. Hence, this work focuses on designing space-filling experiments i.e., experiments that cover the full operation range of interest, for nonlinear dynamical systems.

      Lieu : Salle Chaussey au H9 (ECL) - Lien Zoom transmis par email.

      Article

  • AIS

    • Mercredi 20 mai de 12h30 à 14h00 - Maté Kiss - TU Eindhoven

      Séminaire "Data-Driven Model Completion : from experimental design to interpretable models"

      Résumé : The quality of a model resulting from (black-box) system identification is highly dependent on the quality of the data that is used during the identification procedure. Designing experiments for linear time-invariant systems is well understood and mainly focus on the power spectrum of the input signal. Performing experiment design for nonlinear system identification on the other hand remains an open challenge as informativity of the data depends both on the frequency-domain content and on the time-domain evolution of the input signal. Furthermore, as nonlinear system identification is much more sensitive to modelling and extrapolation errors, having experiments that explore the considered operation range of interest is of high importance. Hence, this work focuses on designing space-filling experiments i.e., experiments that cover the full operation range of interest, for nonlinear dynamical systems.

      Lieu : Salle Chaussey au H9 (ECL) - Lien Zoom transmis par email.

      Article

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