引用本文:张 皓,严怀成,陈启军.随机混沌时滞神经网络的指数同步[J].控制理论与应用,2009,26(2):189~192.[点击复制]
ZHANG Hao,YAN Huai-cheng,CHEN Qi-jun.Exponential synchronization of stochastic perturbed chaotic neural networks with time-delay[J].Control Theory and Technology,2009,26(2):189~192.[点击复制]
随机混沌时滞神经网络的指数同步
Exponential synchronization of stochastic perturbed chaotic neural networks with time-delay
摘要点击 1713  全文点击 1330  投稿时间：2007-08-07  修订日期：2008-06-23
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DOI编号  10.7641/j.issn.1000-8152.2009.2.015
  2009,26(2):189-192
中文关键词  指数同步  随机扰动  李雅普诺夫函数  线性矩阵不等式
英文关键词  exponential synchronization  stochastic perturbation  Lyapunov function  linear matrix inequality(LMI)
基金项目  国际科技合作项目(2007DFA10600); 国家科技支撑计划(2007BAF10B00); 同济大学 优秀人才计划(0800219081).
作者单位E-mail
张 皓 同济大学 控制科学与工程系, 上海 200092 zhang_hao@mail.tongji.edu.cn 
严怀成 香港中文大学 电子工程学系, 香港 999077 hcyan@ee.cuhk.edu.hk 
陈启军 同济大学 控制科学与工程系, 上海 200092 qjchen@mail.tongji.edu.cn 
中文摘要
      研究受随机扰动且具有时变时滞神经网络的指数同步. 根据Lyapunov稳定性理论结合线性矩阵不等式技巧, 通过构造含时滞的状态反馈控制器, 使得受到随机扰动的驱动系统和响应系统达到指数同步, 给出了随机时滞神经网络指数同步的新判据, 最后通过仿真验证了所用方法的有效性.
英文摘要
      The exponential synchronization problem is investigated for a class of stochastic perturbed chaotic neural networks with time- delay. Based on the Lyapunov stability theory and the LMI technique, a time-delay feedback controller is developed to guarantee the exponential synchronization between the driving and driven neural network. New criteria is proposed for verifying the exponential synchronization between stochastic neural networks with time-delay. Finally, an example is provided to demonstrate the effectiveness and applicability of the proposed design approach.