A new stability analysis of delayed cellular neural networks
A new stability analysis of delayed cellular neural networks
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DOI：
10.1016/j.amc.2006.01.024
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发表时间：
2006-10
期刊：
影响因子：
--
通讯作者：
Ju H. Park
中科院分区：
文献类型：
--
作者：
Ju H. Park
研究时滞细胞神经网络(DCNN)的全局渐近稳定性。利用Lyapunov稳定性理论和线性矩阵不等式(LMI)框架，提出了一种新的稳定性判据。用LMI表示的判据是时延相关的。这一结果不像以前文献中所建立的那样保守。最后给出了一个数值算例，验证了该方法的有效性。
In this paper, the global asymptotic stability of delayed cellular neural networks (DCNNs) is investigated. A novel criterion for the stability using the Lyapunov stability theory and linear matrix inequality (LMI) framework is presented. The criterion expressed by LMIs is delay-dependent. The result is less conservative than those established in the earlier references. A numerical example is given to show the effectiveness of proposed method.