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Contribution in the robust estimate of dynamic models. Application in the ord...
Complex dynamic systems identification remains a concern when prediction errors contain innovation outliers. They have the effect to damage the estimated model if the... -
System identification using neural networks : a balanced accuracy, complexity...
This report concerns the research topic of black box nonlinear system identification. In effect, among all the various and numerous techniques developed in this field... -
Extreme value theory and applications in environment
In the first two chapters, we try to answer two questions that are critical in climatology. The first one is to know whether a change in the behaviour of the... -
Robust Anisotropic Filtering Governed by Fronts Propagation: Towards an Autom...
The reliable and accurate segmentation of anatomical volumes (normal or pathological) from imaging systems remains an important goal in the medical information... -
Estimation non biaisée et robuste de l'état et des défauts des systèmes stoch...
This thesis addresses the problem of unbiased minimum variance filtering by two techniques: the proportional integral filter and the robust minimum variance filtering.... -
Une méthode statistique robuste à deux niveaux pour le recalage temporel à pa...
Colloque avec actes et comité de lecture.
