State estimation and fault detection for systems described by Takagi-Sugeno nonlinear models

Didier Maquin (1)

1 CRAN - Centre de Recherche en Automatique de Nancy

This communication addresses the problem of fault detection and isolation (FDI) for nonlinear systems. Despite a lot of works in this area, model-based FDI for nonlinear systems still remains a difficult task. These two last decades have witnessed growing popularity of Takagi- Sugeno models. This attractivity relies essentially on two advantages: (i) that kind of models can be considered as universal approximator i.e. they offer a good flexibility at the modeling stage; (ii) their structure based on the blending of linear models is able to fully take advantages of the advances of modern control theory. It is then rather natural to trying to extent the well-established model-based FDI methods for linear systems to the systems that can be represented by Takagi-Sugeno models.

Domaines: Automatique / Robotique

Didier Maquin. State estimation and fault detection for systems described by Takagi-Sugeno nonlinear models. 10th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering, STA 2009, Dec 2009, Hammamet, Tunisia. pp.CDROM. ⟨hal-00441167⟩