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变时滞细胞神经网络的全局指数稳定性研究

Research to the Global Exponentioal Stability of Time-varying Delayed Cellular Neural Networks
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摘要 本文采用Lyapunov-Krasovskii泛函方法对一类变时滞细胞神经网络的全局指数稳定性进行了研究,得出了一些关于DCNN全局指数稳定性的充分条件。 Using the method of Lyapunov- Krasovskii functional, this brief performs a preliminary study concerning the global exponential stability(GES) of class of time - varying delayed cellular neural networks(TVDCNNs), which obtains some sufficient conditions about the GES of TVDCNNs.
作者 张孟 吴常虹
出处 《数学理论与应用》 2009年第2期77-81,共5页 Mathematical Theory and Applications
关键词 变时滞 LYAPUNOV方法 神经网络 稳定性 Time-varying delays Lyapunov methods Neural networks Stability
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参考文献4

  • 1Roska, T, Wu, C. W. and Chua L. O., Stability of celMar neural networks with dominant nonlinear and delay- type, template[J], IEEE Trans. Circaits Syst. Ⅰ, Fundam. Theory Appl., 1993,40,270 - 272.
  • 2Sibel Senan, Sabri Arik, New results for exponential stability in delayed cellular neuarl networks[J], IEEE Trans. Circuits Syst. Ⅱ, Fundam. Theory Appl. ,40(4) ,270 - 272.
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  • 4Vimal Singh, On global exponential stability of delayed cellular neural networks [J]. IEEE Trans. Circuits Syst. Ⅱ, Fundam.Theory Appl. ,40(4).

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