一种新的复杂动态网络学习控制的自适应同步算法
New adaptive synchronization algorithm for complex dynamical networks via learning control approach
摘要点击 1709  全文点击 1196  投稿时间:2012-05-07  修订日期:2012-06-24
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DOI编号  10.7641/j.issn.1000-8152.2012.8.LCTA120458
  2012,29(8):1017-1024
中文关键词  同步  复杂动态网络  时变耦合强度  自适应学习控制
英文关键词  synchronization  complex dynamical networks  time-varying coupling strength  adaptive learning control
基金项目  This work was supported by the the National Natural Science Foundation of China (No. 60974139), the Fundamental Research Funds for the Central Universities of China (No. 72103676), the Scientific Research Fund of Yunnan Education Department (No. 2012Z150C), and the Research Subject of Lincang Teacher’s College (No. LCSZL2012005).
作者单位E-mail
郭晓永 西安电子科技大学 理学院
临沧师范高等专科学校 数理系 
xyguomath@126.com 
李俊民 西安电子科技大学 理学院  
中文摘要
      提出了一种新的具有未知时变参数复杂动态网络同步的自适应学习控制方法. 运用重新参数化技术, 设计周期时变参数的自适应学习律、常参数的更新律以及自适应控制策略确保同步误差渐近收敛. 通过构造复合能量函数给出同步的一个充分条件. 最后给出一个复杂网络的例子验证所提方法的有效性.
英文摘要
      A new adaptive learning control approach for the synchronization of complex dynamical networks with unknown time-varying parameters is proposed. By using the reparameterization technique, the adaptive learning laws of periodically time-varying and constant parameters and an adaptive control strategy are designed to ensure the asymptotic convergence of the synchronization error. Then, a sufficient condition of the synchronization is given by constructing a composite energy function. Finally, an example of the complex network is used to verify the effectiveness of proposed approach.