Boundedness and Exponential Stability for High-Order Neural Networks with Time-Varying Delay

摘要：

　　In this paper,by using the Young inequality technique and introducing many real parameters,some criteria are established for the boundedness and exponential stability of a class of high-order neural networks with time-varying delay.The upper bound of the solutions are also estimated,which is seldom considered before.The results obtained in this paper generalize and improve the existing ones since they can be considered as a special case of our ones as a lower-order case.Illustrative example is also given in the end of this paper to show the effectiveness of our results.

关键词： Boundedness Exponential stability High-order neural networks Time-varying delay Dini derivative

作者: REN Fengli ZHAO Hongyong

作者单位: Department of Mathematics,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China

会议类型: 国际会议

会议名称: The 33th Chinese Control Conference第33届中国控制会议

会议地点: 南京

会议语种:英文

页码: 5031-5036

在线出版日期: 2014-07-28（万方平台首次上网日期，不代表论文的发表时间）