A regularised fast recursive algorithm for fraction model identification of nonlinear dynamic systems

The fraction model has been widely used to represent a range of engineering systems. To accurately identify the fraction model is however challenging, and this paper presents a regularised fast recursive algorithm (RFRA) to identify both the true fraction model structure and the associated unknown m...

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Veröffentlicht in:	International journal of systems science Jg. 54; H. 7; S. 1616 - 1638
Hauptverfasser:	Zhang, Li, Li, Kang, Du, Dajun, Li, Yihuan, Fei, Minrui
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Taylor & Francis 19.05.2023 Taylor & Francis Ltd
Schlagworte:	Algorithms Cost function Dynamical systems fraction models Linear transformations Nonlinear dynamics nonlinear model identification Nonlinear systems Regularisation regularised fast recursive algorithm Regularization
ISSN:	0020-7721, 1464-5319
Online-Zugang:	Volltext
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