Nonlinear system identification using uncoupled state multiple-model approach (original) (raw)

2006, 4th Workshop on Advanced Control and Diagnosis, Nancy, France, November 16-17, 2006.

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 multiple-model (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.