Approximation of Non--Linear System with Identified Hybrid Models

This paper addresses the identification of non-lineardynamic systems. A wide class of these systems canbe described using non-linear time-invariantregression models, that can be approximated by means of piecewise affine prototypes with an arbitrary degree of accuracy. This workconcerns the identification of piecewise affine model structure through input-output data acquired from a dynamic process. In order to show the effectiveness of the developed technique, the results obtained in the identification of both a simple simulated system and a real dynamic process are reported