CNRS, GDR MACS and Ecole Centrale Lyon: Data-driven Model Learning of Dynamic Systems

The 5-days Spring School aims at covering the fundamentals of data-driven modeling approaches (ranging from parameter estimation algorithms (PEM and ETFE) and experiment design to model validation) as well as more advanced topics. In this year edition, these advanced topics will pertain to closed-loop identification, to optimal experiment design and to the use of statistical tools (such as the maximum likelihood theory) for learning the dynamics of linear and nonlinear systems. The school consists of a series of lectures and of (computer) exercise sessions.


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  • digital_skills_for_ict_professionals_and_other_digital_experts|digital_skills_for_the_labour_force

Digitale technologie / specialisatie


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  • advanced|digital_expert

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  • Belgium

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