Regularized Taylor Echo State Networks for Predictive Control of Partially Observed Systems

The existing neural networks suffer from partial observation while modeling and controlling dynamic systems. In this paper, a new linearized recurrent neural network, the Taylor expanded echo state network (TESN), is proposed for predictive control of partially observed dynamic systems. Two schemes...

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Veröffentlicht in:	IEEE access 2016, Vol.4, p.3300-3309
Hauptverfasser:	Xiang, Kui, Li, Bing Nan, Zhang, Liyan, Pang, Muye, Wang, Meng, Li, Xuelong
Format:	Artikel
Sprache:	eng
Schlagworte:	Control systems Dynamical systems echo state networks Learning Linearization Neural networks Predictive control Recurrent neural networks Regression Regularization Sparse regularization
Online-Zugang:	Volltext
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