Global exponential stability of competitive neural networks with different time-scales

被引：0

作者：

Chen, Jun ^{[1
]}

Cui, Bao-Tong ^{[1
]}

机构：

[1] Coll. of Control Science and Engineering, Jiangnan Univ., Wuxi 214122, China

来源：

Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2008年 / 30卷 / 05期

关键词：

Time measurement;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

The global exponential stability of competitive neural networks with different time scales and delay is investigated. Based on the proper Lyapunov functions and analysis for the Jacobsthal inequality, some new sufficient conditions for global exponential stable of the delayed competitive neural networks with different time scales are given. An illustrative example with its figure of simulation is presented which demonstrates the usefulness of the proposed results.

引用

页码：901 / 904