Global dissipativity of neural networks with both variable and unbounded delays
Global dissipativity of neural networks with both variable and unbounded delays
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DOI：
10.1016/j.chaos.2004.11.035
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发表时间：
2005-07
影响因子：
7.8
通讯作者：
Q. Song;Zhenjiang Zhao
中科院分区：
文献类型：
--
作者：
Q. Song;Zhenjiang Zhao
本文研究了具有变时滞和无界时滞的神经网络的耗散性。通过构造适当的李雅普诺夫函数和运用一些分析技巧，给出了同时具有变时滞和无界时滞的神经网络的耗散性的几个充分条件.所得结果推广和改进了前人的研究成果。最后给出了一个算例，说明了所得结果的有效性.
In this paper, the dissipativity of neural networks with both variable and unbounded delays is investigated. By constructing proper Lyapunov functions and using some analytic techniques, several sufficient conditions are given to ensure the dissipativity of neural networks with both variable and unbounded delays. The results extend and improve the earlier publication. An example is given to show the effectiveness of the obtained results.