引用本文:刘 斌, 刘新芝, 廖晓昕.脉冲Hopfield神经网络的鲁棒H-稳定性及其脉冲控制器设计(英文)[J].控制理论与应用,2003,20(2):168~172.[点击复制]
LIU Bin, LIU Xin-zhi, LIAO Xiao-xin.Robust H-stability of Hopfield neural networks with impulsive effects and design of impulsive controllers[J].Control Theory and Technology,2003,20(2):168~172.[点击复制]
脉冲Hopfield神经网络的鲁棒H-稳定性及其脉冲控制器设计(英文)
Robust H-stability of Hopfield neural networks with impulsive effects and design of impulsive controllers
摘要点击 1532  全文点击 895  投稿时间:2001-09-30  修订日期:2002-03-28
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DOI编号  10.7641/j.issn.1000-8152.2003.2.002
  2003,20(2):168-172
中文关键词  Hopfield神经网络  脉冲  鲁棒H-稳定性  Riccati不等式
英文关键词  Hopfield neural networks  impulse  robust H stability  Riccati inequality
基金项目  
作者单位E-mail
刘 斌, 刘新芝, 廖晓昕 华中科技大学 控制科学 与工程系 系统工程研究所,湖北武汉 430074
加拿大滑铁卢大学 应用数学 系,滑铁卢安大略 N2L3G1 
oliverliu78@263.net 
中文摘要
      研究了脉冲Hopfield神经网络在Hopfield意义下的鲁棒稳定性. 通过应用Lyapunov函数法和Riccati不等式方法, 得到了脉冲Hopfield神经网络鲁棒稳定和鲁棒渐近稳定的充分条件, 在此基础上, 设计出了易于实施的脉冲控制器来镇定Hopfield神经网络. 最后, 给出了例子.
英文摘要
      This paper studies the robust H stability (e.g. in the sense of Hopfield) for Hopfield neural networks (HNN for short) with impulsive effects. By employing the method of Lyapunov functions and Riccati inequality, some sufficient conditions for robust H stability and robustly asymptotical H stability are established. On the basis of these results, the author also designs some impulsive controllers to stabilize HNN. Finally, one illustrative example is given.