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

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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Bibliographic Details
Main Authors: Kui Xiang, Bing Nan Li, Liyan Zhang, Muye Pang, Meng Wang, Xuelong Li
Format: Article
Language:English
Published: IEEE 2016-01-01
Series:IEEE Access
Subjects:
Neural networks
echo state networks
sparse regularization
predictive control
Online Access:https://ieeexplore.ieee.org/document/7494924/

Internet

https://ieeexplore.ieee.org/document/7494924/

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