New global robust stability results for delayed cellular neural networks based on norm-bounded uncertainties
New global robust stability results for delayed cellular neural networks based on norm-bounded uncertainties
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DOI：
10.1016/j.chaos.2005.08.183
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发表时间：
2006-12
影响因子：
7.8
通讯作者：
Vimal Singh
中科院分区：
文献类型：
--
作者：
Vimal Singh
提出了一种基于线性矩阵不等式的不确定时滞细胞神经网络平衡点唯一性和全局渐近稳定性的新方法。假设不确定性是范数有界的。一种新的类型的Lyapunov-Krasovskii功能得到的结果。
A new linear matrix inequality based approach to the uniqueness and global asymptotic stability of the equilibrium point of uncertain cellular neural networks with delay is presented. The uncertainties are assumed to be norm-bounded. A new type of Lyapunov–Krasovskii functional is employed to derive the result.