| 引用本文: | 贾贞,汪贺,王俊,李勇.基于自适应同步的二部图复杂动力网络的权值识别[J].控制理论与应用,2010,27(1):107~110.[点击复制] |
| JIA Zhen,WANG He,WANG Jun,LI Yong.The weighted identification of a bipartite-graph complex dynamical network based on adaptive synchronization[J].Control Theory and Technology,2010,27(1):107~110.[点击复制] |
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| 基于自适应同步的二部图复杂动力网络的权值识别 |
| The weighted identification of a bipartite-graph complex dynamical network based on adaptive synchronization |
| 摘要点击 2575 全文点击 1318 投稿时间：2008-12-27 修订日期：2009-05-29 |
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| DOI编号 10.7641/j.issn.1000-8152.2010.1.CCTA081450 |
| 2010,27(1):107-110 |
| 中文关键词 二部图 复杂动力网络 权值识别 |
| 英文关键词 bipartite-graph complex dynamical network weighted identification |
| 基金项目 国家自然科学基金资助项目(70771084); 广西自然科学基金资助项目(桂科基0991244); 广西教育厅科研基金资助项目(200807MS043). |
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| 中文摘要 |
| 本文给出了二部图复杂动力网络的数学模型及其权值识别方法. 运用自适应反馈控制技术, 通过构造驱动―响应结构的同步网络,设计了网络权值识别控制器. 应用Lyapunov稳定性理论及LaSalle不变集原理从理论上证明了结论, 并通过数值仿真算例验证了所给方法的有效性. |
| 英文摘要 |
| This article provides a bipartite-graph complex dynamical network model and its weighted identification method. Based on the adaptive feedback technology, we design controllers to identify the weights of the network by constructing synchronous networks in the drive-response framework. The conclusion is proved by Lyapunov stability and LaSalle’s invariance principle. Numerical simulations are given to demonstrate the effectiveness of the proposed method. |