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
Approximation of Non--Linear System with Identified Hybrid Models / S., Simani; Fantuzzi, Cesare. - ELETTRONICO. - (2005), pp. 23-28. (Intervento presentato al convegno 16th IFAC World Congress tenutosi a Praga, Repubblica Ceca nel 4-8 Luglio 2005) [10.3182/20050703-6-cz-1902.00004].
Approximation of Non--Linear System with Identified Hybrid Models
FANTUZZI, Cesare
2005
Abstract
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
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