Global asymptotic stability of BAM neural networks with mixed delays and impulses

Global asymptotic stability of BAM neural networks with mixed delays and impulses
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DOI：
10.1016/j.amc.2009.02.002
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发表时间：
2009-06
期刊：
Appl. Math. Comput.
影响因子：
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通讯作者：
R. Samidurai;R. Sakthivel;S. Anthoni
R. Samidurai;R. Sakthivel;S. Anthoni
中科院分区：
其他
文献类型：
--
作者：
R. Samidurai;R. Sakthivel;S. Anthoni

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本文研究了具有混合时滞和脉冲的BAM神经网络。通过构造适当的李雅普诺夫泛函，利用矩阵理论，得到了具有混合时滞和脉冲的BAM神经网络全局渐近稳定的一组新的充分条件.最后，通过一个算例说明了所得结果的有效性.
In this paper, BAM neural networks with mixed delays and impulses are considered. A new set of sufficient conditions are derived by constructing suitable Lyapunov functional with matrix theory for the global asymptotic stability of BAM neural networks with mixed delays and impulses. Moreover, an example is also provided to illustrate the effectiveness of the results.