Dynamic sensitivity analysis method based on Gramian
Résumé
A dynamic vehicle depends on various subsystems which characterize the vehicle behavior. Each subsystem is described by a mathematical model depending on a significant number of parameters. These parameters are very often uncertain due to a lack of measurements, knowledge due to expert judgment. The uncertainty in the parameters propagates through the model and manifests itself at the model output. In order to understand the vehicle behavior, it is essential to know the parameters responsible for the model output variation. Uncertainty and sensitivity analysis can help to evaluate the impact of this lack of knowledge on the model response. In the literature, sensitivity analysis for dynamical models is not straightforward. In this context, the work presented in this paper investigates a novel technique of global sensitivity analysis for dynamical models. The originality of the method is to use control theory tools for sensitivity analysis purposes.
Domaines
Automatique / Robotique
Origine : Fichiers produits par l'(les) auteur(s)
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