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] |
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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 1528 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 |
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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. |