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文章基本信息

  • 标题:IDENTIFICATION OF A PRODUCTION SYSTEM USING HAMMERSTEIN-WIENER AND NARX MODELS
  • 本地全文:下载
  • 作者:HICHAM FOURAIJI ; BAHLOUL BENSASSI
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2016
  • 卷号:84
  • 期号:1
  • 出版社:Journal of Theoretical and Applied
  • 摘要: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.
  • 关键词:Production System; Hammerstein-Wiener Model; NARX Model; Parametric Identification
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