| 非一致节点的未知复杂动态网络的自适应同步 |
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| 引用本文： | 郝修清,李俊民.非一致节点的未知复杂动态网络的自适应同步[J].西安电子科技大学学报,2014,41(4):71-76. |
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| 作者姓名： | 郝修清 李俊民 |
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| 作者单位： | (西安电子科技大学 数学与统计学院，陕西 西安710071) |
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| 基金项目： | 国家自然科学基金资助项目(60974139)；教育部博士点基金资助项目(JY0300137002, 20130203110021) |
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| 摘 要： | 对非一致节点的非线性耦合时变时滞未知复杂动态网络，运用学习控制方法实现自适应同步．采用信号置换技术对系统方程进行重构，将所有的未知时变项合并为1个周期时变向量，设计周期自适应学习律估计该向量 ．通过构造复合能量函数，得到同步的1个充分条件和所有信号的有界性．通过1个数值算例证明了所提出方法的有效性．
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| 关 键 词： | 同步 复杂动态网络 非一致节点 自适应学习控制 |
| 收稿时间： | 2013-10-11 |
Adaptive synchronization for unknown complex dynamical networks with non-identical nodes |
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| HAO Xiuqing,LI Junmin.Adaptive synchronization for unknown complex dynamical networks with non-identical nodes[J].Journal of Xidian University,2014,41(4):71-76. |
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| Authors: | HAO Xiuqing LI Junmin |
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| Affiliation: | (School of Mathematics and Statistics, Xidian Univ., Xi'an 710071， China) |
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| Abstract: | An adaptive synchronization approach for unknown complex dynamical networks with non-identical nodes and nonlinear coupling with time-varying delays is proposed via learning control. By using the signal replacement technique and reconstructing the system equation, all unknown time-varying terms are combined into a periodically time-varying vector which is estimated by a periodic adaptive learning mechanism. A sufficient condition for the synchronization and boundedness of all signals are given by constructing a composite energy function. Finally, a numerical example is given to show the effectiveness of the designed method. |
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| Keywords: | synchronization complex dynamical networks non-identical nodes adaptive learning control |
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