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Erschienen in:
2010 | OriginalPaper | Buchkapitel
Reverse Engineering of Dynamic Systems
verfasst von : Yuehui Chen, Ajith Abraham
Erschienen in: Tree-Structure based Hybrid Computational Intelligence
Verlag: Springer Berlin Heidelberg
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The general task of system identification problem is to approximate automatically the behavior of an unknown plant using an appropriate model. Identification of nonlinear system suffers many problems including determination of the structure and parameters of the system. Many traditional methods of system identification are based on parameter estimation, and mainly rely on least mean-squares (LMS) method. Recently soft computing based system identification approaches, i.e., neural networks and fuzzy systems have been an active research area.