Observer design for unknown input nonlinear descriptor systems via a convex optimization

Damien Koenig (1)

1 LAG - Laboratoire d'automatique de Grenoble

This paper treats the design problem of full-order observers for nonlinear descriptor systems with unknown input (UI). Depending on the available knowledge on the UI dynamics, two cases are considered. First, an unknown input proportional observer (UIPO) is proposed when the spectral domain of the UI is unknown. Second, a proportional integral observer (PIO) is proposed when the spectral domain of the UI is in the low frequency range. Sufficient conditions for the existence and stability of such observers are given and proved. Based on the linear matrix inequality (LMI) approach, an algorithm is presented to compute the observer gain matrix that achieves the asymptotic stability objective. An example is included to illustrate the method.

Mots clés: linear matrix inequalities; Lipschitz nonlinear descriptor systems; proportional integral observers; unknown input observers; linear matrix inequalities.

Domaines: Automatique

Damien Koenig. Observer design for unknown input nonlinear descriptor systems via a convex optimization. IEEE Transactions on Automatic Control, 2006, Vol. AC-51,, June 2006. (Issue: 06), pp. 1047-1052. ⟨hal-00152118⟩