LMI-Based Approach for Robust Stability Analysis of BAM Neural Networks with Time-Varying Delays

摘要：

In this paper, the global robust asymptotic stability of BAM neural networks with timevarying delays is investigated. An approach combining Lyapunov functional with linear matrix inequality (LMI) is taken to study the problems. Some criteria for robust asymptotic stability of BAM neural networks are derived. A numerical example is given to demonstrate the e甧ctiveness of the results.

作者: Li Sheng Huizhong Yang

作者单位: School of Communication and Control Engineering Southern Yangtze University Wuxi, 1800 Lihu Rd., 214122

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）