Nonlinear system identification using uncoupled state multiple-model approach

Rodolfo Orjuela (1) , Didier Maquin (1) , José Ragot (1)

1 CRAN - Centre de Recherche en Automatique de Nancy

Multiple-model approach is an interesting alternative and a powerful tool for modelling complex processes. This paper deals with the off-line identification of non-linear systems employing the multiple-model approach. We use an uncoupled state multiple-model in opposition to the classically used coupled state multiplemodel (Takagi-Sugeno). The use of this new mutiple-model structure reveals a new undesirable phenomenon, called unhooking, that deteriorates the quality of the obtained approximation. An original solution is proposed to avoid this phenomenon.

Mots clés: Multiple-models; non-linear system identification; model structure

Domaines: Automatique / Robotique

Rodolfo Orjuela, Didier Maquin, José Ragot. Nonlinear system identification using uncoupled state multiple-model approach. Workshop on Advanced Control and Diagnosis, ACD'2006, Nov 2006, Nancy, France. pp.CDROM. ⟨hal-00119411⟩