Séminaire de Dragan Nesic le 06 Décembre : Estimation framework for nonlinear systems with time scale separation.


Date : le 06 décembre à 14h30 salle J.B, LAGEPP

Title : Estimation framework for nonlinear systems with time scale separation


Abstract: The estimation of unmeasured variables is a central objective in a broad range of applications. This problem turns into a challenging task when the underlying model is nonlinear and even more so when additionally it exhibits multiple time scales. This research work focuses on generating an estimation framework for a nonlinear systems exhibiting time scale separation. First, we overview observer design for slow states of general nonlinear singularly perturbed plants. Then, we address the full state estimation problem by introducing a multi-observer approach or nonlinear systems with slowly varying-time parameters. Moreover, we propose a new estimation technique that leads to a switched observer for the estimation of slow and fast state.

Date/heure
Date(s) - 6 Déc 2019
14 h 00 min - 16 h 00 min

Emplacement
LAGEPP Salle Jacques Bordet

Catégories

Filed under: Séminaires