首页 | 本学科首页   官方微博 | 高级检索  
     检索      

时滞型脉冲神经网络的全局指数稳定性(英文)
引用本文:杨逢建,张超龙,吴东庆,杨建富,陈新明.时滞型脉冲神经网络的全局指数稳定性(英文)[J].大学数学,2010,26(1).
作者姓名:杨逢建  张超龙  吴东庆  杨建富  陈新明
作者单位:仲恺农业工程学院计算科学系,广州,510225
基金项目:Science and technology plan Foundation of Guangzhou under Grant(2006j1-C0341)
摘    要:对一类含时滞的脉冲神经网络平衡点的存在性和稳定性进行了研究.在不假定激励函数有界、单调或可微而仅假定激励函数Lipschitz连续的条件下,利用压缩映像原理证明了系统平衡点的存在性,利用右上Dini导数的性质并通过构造适当的Lyapunov函数得到了平衡点全局指数稳定的充分条件.文末通过实例说明了所获结论的有效性.

关 键 词:脉冲  时滞  神经网络  全局指数稳定性

Global Stability of Neural Networks with Delays and Impulses
YANG Feng-jian,ZHANG Chao-long,Wu Dong-qing,YANG Jian-fu,CHEN Xin-ming.Global Stability of Neural Networks with Delays and Impulses[J].College Mathematics,2010,26(1).
Authors:YANG Feng-jian  ZHANG Chao-long  Wu Dong-qing  YANG Jian-fu  CHEN Xin-ming
Institution:Computational Science Department of Zhongkai University of Agriculture and Engineering;Guangzhou 510225;China
Abstract:This paper is concerned with a class of neural networks with delays and inpulses.Sufficient conditions are obtained for the existence and global exponential stability of a unique equilibrium without assuming the activation function to be bounded,monotonic or differentiable.An illustrative example is given to demonstrate the effectiveness of the obtained results.
Keywords:impulses  delays  neural networks  global exponential stability  
本文献已被 CNKI 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号