IDENTIFICATION OF A PRODUCTION SYSTEM USING HAMMERSTEIN-WIENER AND NARX MODELS
In this article, the authors have presented 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...
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Veröffentlicht in: | Journal of Theoretical and Applied Information Technology 2016-02, Vol.84 (1), p.111-111 |
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Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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Zusammenfassung: | In this article, the authors have presented 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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ISSN: | 1817-3195 |