Delay-dependent exponential stability of cellular neural networks with time-varying delays
Delay-dependent exponential stability of cellular neural networks with time-varying delays
复制标题
DOI：
10.1016/j.chaos.2004.06.036
复制
发表时间：
2005-02
影响因子：
7.8
通讯作者：
Qiang Zhang;Xiaopeng Wei;Jin Xu
中科院分区：
文献类型：
--
作者：
Qiang Zhang;Xiaopeng Wei;Jin Xu
分析了具有时变时滞的细胞神经网络的全局指数稳定性。得到了时滞CNN全局指数稳定的两个新的充分条件。这里提出的条件与延迟的大小有关。稳定性结果改进了早期出版物。最后给出了两个例子来说明所得结果的有效性。
The global exponential stability of cellular neural networks (CNNs) with time-varying delays is analyzed. Two new sufficient conditions ensuring global exponential stability for delayed CNNs are obtained. The conditions presented here are related to the size of delay. The stability results improve the earlier publications. Two examples are given to demonstrate the effectiveness of the obtained results.