Volume 6 Number 3
August 2009
Article Contents
Yuan-Yuan Wu and Yu-Qiang Wu. Stability Analysis for Recurrent Neural Networks with Time-varying Delay. International Journal of Automation and Computing, vol. 6, no. 3, pp. 223-227, 2009. doi: 10.1007/s11633-009-0223-3
Cite as: Yuan-Yuan Wu and Yu-Qiang Wu. Stability Analysis for Recurrent Neural Networks with Time-varying Delay. International Journal of Automation and Computing, vol. 6, no. 3, pp. 223-227, 2009. doi: 10.1007/s11633-009-0223-3

Stability Analysis for Recurrent Neural Networks with Time-varying Delay

  • Received: 2008-09-22
Fund Project:

supported by National Natural Science Foundation of China (No.60674027)

通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

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Stability Analysis for Recurrent Neural Networks with Time-varying Delay

Fund Project:

supported by National Natural Science Foundation of China (No.60674027)

Abstract: This paper is concerned with the stability analysis for static recurrent neural networks (RNNs) with time-varying delay. By Lyapunov functional method and linear matrix inequality technique, some new delay-dependent conditions are established to ensure the asymptotic stability of the neural network. Expressed in linear matrix inequalities (LMIs), the proposed delay-dependent stability conditions can be checked using the recently developed algorithms. A numerical example is given to show that the obtained conditions can provide less conservative results than some existing ones.

Yuan-Yuan Wu and Yu-Qiang Wu. Stability Analysis for Recurrent Neural Networks with Time-varying Delay. International Journal of Automation and Computing, vol. 6, no. 3, pp. 223-227, 2009. doi: 10.1007/s11633-009-0223-3
Citation: Yuan-Yuan Wu and Yu-Qiang Wu. Stability Analysis for Recurrent Neural Networks with Time-varying Delay. International Journal of Automation and Computing, vol. 6, no. 3, pp. 223-227, 2009. doi: 10.1007/s11633-009-0223-3
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