Global stability of stochastic neural networks with noise disturbance and interval time-varying delays

摘要：

In this paper, global stability problem of stochastic neural network with interval time-varying delays and noise disturbance is investigated. Based on the Lyapunov-Krasovskii functional approach and free weight matrix technique, the delay-dependent and delay derivative-dependent stability criteria are established in the form of Linear Matrix inequalities, which can be easily checked. The constraint that derivative of time-varying delays must be smaller than 1 is relaxed. Numerical examples are also given to demonstrate the effectiveness of the proposed criteria.

关键词： neural network interval time-varying delays stochastic noise

作者: Zhengxia wang Guodong Liu

作者单位: College of information Science and Engineering Chongqing Jiaotong University Chongqing 400074,China School of Civil and Architecture Engineering Chongqing Jiaotong University Chongqing 400074, China

会议类型: 国际会议

会议名称: 2010 Second Asia-Pacific Conference on Information Processing(2010年第二届亚太地区信息处理国际会议 APCIP 2010)

会议地点: 南昌

会议语种:英文

页码: 263-266

在线出版日期: 2010-09-17（万方平台首次上网日期，不代表论文的发表时间）