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.
Publish in core platform
Digitale technologie / specialisatie
Niveau digitale skills
Geographic Scope - Country
Type of initiative
Industry - Field of Education and Training
- Information and Communication Technologies (ICTs) not further defined