Global Exponential Stability for Impulsive Neural Networks With Discrete and Distributed Time-varying Delays

摘要：

Based on the stability theory of Lyapunov-Krasovskii and the linear matrix inequality (LMI) approach, the global exponential stability was discussed for the impulsive neural networks with discrete and distributed time-varying delays, and a new sufficient condition was derived to assure the global exponential stability of the equilibrium point. The criterion improved and extended the results of literature, and has less conservative.

关键词： discrete distributed impulsive Lyapunov functional LMI stability

作者: Liang Wu Lei Zhao Yingfeng Zhao Baolin Ma

作者单位: Henan Institute of Science and Technology, Department of Mathematics, Henan Xinxiang 453003 China

会议类型: 国际会议

会议名称: 2010 International Conference on Information Technology and Industrial Engineering(2010年信息技术与工业工程国际学术会议 ITIE 2010)

会议地点: 武汉

会议语种:英文

页码: 660-664

在线出版日期: 2010-06-06（万方平台首次上网日期，不代表论文的发表时间）