Identification of Duffing's equation with dynamic recurrent neural network

Authors:
Shan Liang;Qin Zhu;Mitsuaki Ishitobi
Affiliations:
Chongqing University, Chongqing, China;Oyama National College of Technology, Tochigi, Japan;Kumamoto University, Kumamoto, Japan
Venue:
ISNN'05 Proceedings of the Second international conference on Advances in neural networks - Volume Part II
Year:
2005

Citing 2
Cited 0

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Abstract

In this paper, the identification of Duffing's equation by dynamic recurrent neural network (DRNN) is discussed. It is assumed that only states of the Duffing's equation are available and the system is taken as a black box. It is shown that the DRNN can model the dynamics of the Duffing's equation. A numerical example indicates that the forced training method can be used to train the DRNN.