Exponential Stability analysis of Impulsive Neural Networks with Distributed Delays

摘要：

A class of impulsive neural networks with distributed delays is studied in this paper. With assuming global Lipschitz conditions on the activation functions, applying idea of vector Lyapunov function, combining Young inequality and Halanay differential inequality with delay, sufficient conditions are obtained for the existence of unique and global exponential stable equilibrium of the distributed delay neural networks.

关键词： Lyapunov function Young inequality Neural Networks

作者: Jianfu Yang Wensi Ding Fengjian Yang Wei Li Qian Wang Lishi Liang Qun Hong

作者单位: Department of Computation Science, Zhongkai University of Agriculture and Engineering, Guangzhou, 51 School of Machanical and Automative Engineering of South China University of Technology, Guangzhou, The 5th Middle School of Guangzhou City, Guangzhou, 510220 The Haizhu District Chigang Primary School of G uangzhou City, Guangzhou, 510310

会议类型: 国际会议

会议名称: The 22nd China Control and Decision Conference(2010年中国控制与决策会议)

会议地点: 徐州

会议语种:英文

页码: 1741-1744

在线出版日期: 2010-05-26（万方平台首次上网日期，不代表论文的发表时间）