Parameters and states estimation for Dengue epidemic model

Ramdane Tami (1) , Driss Boutat (1) , Gang Zheng (2, 3) , Frédéric Kratz (1)

1 PRISME - Laboratoire Pluridisciplinaire de Recherche en Ingénierie des Systèmes, Mécanique et Energétique
2 NON-A - Non-Asymptotic estimation for online systems
3 LAGIS - Laboratoire d'Automatique, Génie Informatique et Signal

— This paper focuses on the states estimation and parameter identification for nonlinear Dengue epidemic model. This model supplies a change of coordinates that transforms the studied model into an extended output depending nonlinear observer normal form. Then we can use the high gain observer strategy, which allows both the parameter identification and the state estimation.

Domaines: Automatique

Ramdane Tami, Driss Boutat, Gang Zheng, Frédéric Kratz. Parameters and states estimation for Dengue epidemic model. 13th European Control Conference, Jun 2014, Strasbourg, France. ⟨hal-01094912⟩