An analysis of global asymptotic stability of delayed cellular neural networks
An analysis of global asymptotic stability of delayed cellular neural networks
复制标题
DOI：
10.1109/tnn.2002.1031957
复制
发表时间：
2002-09-01
影响因子：
--
通讯作者：
Arik, S
中科院分区：
文献类型：
--
作者：
Arik, S
本文给出了延迟细胞神经网络（DCNN）平衡点的唯一性和全局渐近稳定性的新充分条件。此条件对 DCNN 的反馈和延迟反馈矩阵施加约束，与延迟参数无关。该结果还与文献中得出的先前结果进行了比较。
In this paper, a new sufficient condition is given for the uniqueness and global asymptotic stability of the equilibrium point for delayed cellular neural networks (DCNNs). This condition imposes constraints on the feedback and delayed feedback matrices of a DCNN independently of the delay parameter. This result is also compared with the previous results derived in the literature.