Global Exponential Stability of A Class of Impulsive Cohen-Grossberg Neural Networks with Unbounded Delays

摘要：

This paper studies the problems of globalexponential stability for a class of impulsiveCohen-Grossberg neural networks,which containsboth variable and unbounded delays.By constructingvector Lyapunov functions and nonlinear integro-differential inequalities,the sufficient conditions forglobal exponential stability are obtained An exampleis given to demonstrate the effectiveness of theproposed conditions.

作者: Xiaohui Xu Jiye Zhang Keyue Zhang

作者单位: National Traction Power Laboratory,Southwest Jiaotong University,Chengdu 610031,China

会议类型: 国际会议

会议名称: 2008 3rd International Conference on Intelligent System and Knowledge Engineering(第三届智能系统与知识工程国际会议)(ISKE 2008)

会议地点: 厦门

会议语种:英文

页码: 851-855

在线出版日期: 2008-11-17（万方平台首次上网日期，不代表论文的发表时间）