Novel delay-dependent robust stability criterion of delayed cellular neural networks
Novel delay-dependent robust stability criterion of delayed cellular neural networks
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DOI：
10.1016/j.chaos.2005.11.040
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发表时间：
2007-05
影响因子：
7.8
通讯作者：
Hyun J. Cho;Ju H. Park
中科院分区：
文献类型：
--
作者：
Hyun J. Cho;Ju H. Park
研究了一类具有时变时滞和参数不确定性的细胞神经网络的全局鲁棒稳定性问题。利用李雅普诺夫方法和线性矩阵不等式（LMI）框架，时滞相关的准则的形式。两个数值例子说明了我们的结果的有效性。
In this paper, we consider the problem of global robust stability for cellular neural networks which have time-varying delay and parametric uncertainties. Using the Lyapunov method and linear matrix inequality (LMI) framework, the delay-dependent criterion is presented in terms of LMIs. Two numerical examples are presented to illustrate the effectiveness of our result.