Identification of a class of linear models with nonlinearly varying parameters

A novel class of hybrid linear/nonlinear models is proposed for nonlinear identification purposes and a specific parameter tuning algorithm is presented. The connections between this model class and the Local Model Network family are outlined. Finally, the capabilities of this model in identification problems is outlined by means of simulations.