时滞细胞神经网络的一个新的全局渐近稳定性结果

2009 Chinese Control and Decision Conference Pub Date : 2009-06-17 DOI:10.1109/CCDC.2009.5192532

Jing Liu, Ce Zhang

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引用次数: 0

摘要

研究了延迟细胞神经网络的全局渐近稳定性问题。利用李雅普诺夫泛函方法和矩阵不等式方法，得到了一个新的稳定性条件。这个条件限制较少，并且推广了以前文献中得出的一些稳定性结果。

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A new global asymptotic stability result for delayed cellular neural networks

This paper studies the problem of global asymptotic stability for delayed cellular neural networks(DCNNs). A new stability condition is obtained by utilizing the Lyapunov functional method and the matrix inequality approach. This condition is less restrictive and generalizes some of the previous stability results derived in the literature.

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2009 Chinese Control and Decision Conference

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