Stability and Periodicity of Neural Networks with Delays and Impulses

摘要：

This paper is concerned with the stability and periodicity for a class of impulsive neural networks with delays. By means of the Fixed point theory, Lyapunov functional and analysis technique, some sufficient conditions of exponential stability and periodicity are obtained. We can see that impulses do contribution to the stability and periodicity. An example is given to demonstrate the effectiveness of the obtained results.

关键词： impulse neural networks time delays Fized point

作者: Fengjian Yang Chaolong Zhang Dongqing Wu Jianfu Yang Chuanxiang Gao Lishi Liang Qun Hong

作者单位: Computational Science Department Zhongkai University of Agriculture and Engineering, Guangzhou, 5102 The 5th Middle School of Guangzhou City, Guangzhou, 510220 The Haizhu District Chigang Primary School of Guangzhou City, Guangzhou, 510310

会议类型: 国际会议

会议名称: 2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)

会议地点: 广西桂林

会议语种:英文

页码: 3171-3176

在线出版日期: 2009-06-17（万方平台首次上网日期，不代表论文的发表时间）