Identification of a Production System Using Hammerstein-wiener and Narx Models

نویسندگان

  • HICHAM FOURAIJI
  • BAHLOUL BENSASSI
چکیده

In this paper we present a new approach to modeling dynamic production systems with discrete flow. This method is based on the automatic knowledge domain, in order to build a mathematical model that accurately formalizes the behavior of the studied system. The approach adopted for this study is the parametric identification of nonlinear systems (Hammerstein-Wiener system and NARX model). The production system studied will be considered as a black box, which means that the inputs and outputs data of the system will be used to identify the internal system parameters.

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تاریخ انتشار 2016