Global Asymptotic Stability of Delayed BAM Neural Networks Based on LMI and Matrix Theory

摘要：

By constructing suitable Lyapunov functional, linear matrix inequality and matrix theory, the global asymptotic stability of delay bi-directional associative memory neural networks is studied. Sufficient conditions, which are independent with the delayed quantity, are obtained for the global asymptotic stability of this networks. Some numerical examples are given to illuminate the effectiveness of the obtained results.

作者: Yingpeng Cao Baotong Cui

作者单位: Southern Yangtze University Research Center of Control Science and Engineering Wuxi, Jiangsu, 1800 Lihu Rd., 214122, P.R.China

会议类型: 国际会议

会议名称: Fourth International Conference on Impulsive and Hybrid Dynamical Systems(ICIHDS 2007)(第四届国际脉冲和混合动力系统学术会议)

会议地点: 南宁

会议语种:英文

在线出版日期: 2007-07-20（万方平台首次上网日期，不代表论文的发表时间）