Structure identification in multiple model representation: elimination and merging of local models

This paper deals with the structure optimisation of a multiple model. The proposed technique assumes an initial lattice partition of the operating space of the system. The complexity of the model is optimised through an iterative procedure which includes three operations: elimination of less important local models, merging of neighbouring local models that can describe the same behaviour of the system, parameter optimisation of the resultant structure. The procedure is illustrated on a simulation example