| 一种新的复杂动态网络学习控制的自适应同步算法 |
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| 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. |
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| 作者姓名： | 郭晓永 李俊民 |
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| 作者单位： | 1. 西安电子科技大学理学院,陕西西安710071;临沧师范高等专科学校数理系,云南临沧677000
2. 西安电子科技大学理学院,陕西西安,710071 |
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| 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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| 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.
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| 关 键 词： | 同步 复杂动态网络 时变耦合强度 自适应学习控制 |
| 收稿时间： | 5/7/2012 12:00:00 AM |
| 修稿时间： | 2012/6/24 0:00:00 |
New adaptive synchronization algorithm for complex dynamical networks via learning control approach |
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| GUO Xiao-yong and LI Jun-min.New adaptive synchronization algorithm for complex dynamical networks via learning control approach[J].Control Theory & Applications,2012,29(8):1017-1024. |
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| Authors: | GUO Xiao-yong and LI Jun-min |
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| Affiliation: | College of Science, Xidian University; Department of Mathematics and Science, Lincang Normal College,College of Science, Xidian University |
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| Abstract: | 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. |
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| Keywords: | synchronization complex dynamical networks time-varying coupling strength adaptive learning control |
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