This paper presents a novel Optimal Sensor Placement strategy tailored to model updating problems based on the modified Constitutive Relation Error (mCRE) functional. It offers a credible alternative to classical functionals by optimizing structural…
Jose Andres Perez Orozco, Ludovic Chamoin, Julien Cortial, Maya de Buhan, Bruno Soulier
Model Predictive Control (MPC) is a traditional technique widely employed to control constrained nonlinear systems. Recently, data-driven MPC has emerged as an alternative to explicit MPC strategies when sufficient data are available. However, there…
Daniel Martin Xavier, Ludovic Chamoin, Laurent Fribourg
The early stopping strategy consists in stopping the training process of a neural network (NN) on a set S of input data before training error is minimal. The advantage is that the NN then retains good generalization properties, i.e. it gives good…
Daniel Martin Xavier, Ludovic Chamoin, Laurent Fribourg
Dans un monde digital avec l'expansion des systèmes connectés, une question qui reste ouverte est la conception de structures mécaniques intelligentes et autonomes, capables de contrôler directement, en phase d'opération, leur état de santé et d…
This chapter aims at describing some basic aspects and recent advances in the context of data assimilation, that is the integration of experimental information into computational models for updating or enrichment purposes. We first give an overview…