Existence and Global Exponential Stability of Periodic Solution for Impulsive Cohen-Grossberg Neural Networks with Bounded and Unbounded Delays

摘要：

In this paper, we study the existence and global exponential stability of periodic solution for Cohen-Grossberg neural networks with impulsive effects which is mixed delays. By constructing suitable Lyapunov functional and a new differential inequality, some sufficient conditions are established to guarantee the impulsive neural networks has globally exponential stable periodic solution. and the estimated exponential convergence rate is also obtained. Finally, an example with numerical simulations is given demonstrate the effectiveness of the obtained results.

关键词： Cohen-Grossberg Neural Networks Impulse Periodic Solution Global Exponential Stability Bounded and Unbounded Delays

作者: YAO Xiaojie QIN Fajin

作者单位: Department of Mathematics, Liuzhou Teachers College, Liuzhou 545004, P.R.China Department of Mathematics, Liuzhou Teachers College, Liuzhou 545004, P.R.China Mathematical College,

会议类型: 国际会议

会议名称: The 29th Chinese Control Conference(第二十九届中国控制会议)

会议地点: 北京

会议语种:英文

页码: 1-5

在线出版日期: 2010-07-29（万方平台首次上网日期，不代表论文的发表时间）