| 引用本文: | 郭晓永,李俊民.一种新的复杂动态网络学习控制的自适应同步算法[J].控制理论与应用,2012,29(8):1017~1024.[点击复制] |
| GUO Xiao-yong,LI Jun-min.New adaptive synchronization algorithm for complex dynamical networks via learning control approach[J].Control Theory and Technology,2012,29(8):1017~1024.[点击复制] |
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| 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 2279 全文点击 1376 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). |
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| 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. |