| 含权二部图复杂动力网模型及权值识别 |
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| 引用本文： | 邓光明,罗付岩.含权二部图复杂动力网模型及权值识别[J].桂林工学院学报,2010,30(2):312-315. |
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| 作者姓名： | 邓光明 罗付岩 |
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| 作者单位： | 桂林理工大学,理学院,广西,桂林,541004 |
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| 基金项目： | 国家自然科学基金项目，广西自然科学基金项目，广西教育厅科研项目 |
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| 摘 要： | 提出了一类含权的二部图复杂动力网络模型,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,给出了网络权值识别的一般方法。应用LaSalle不变集原理从理论上证明了结论,并以混沌Lorenz系统和Lü系统为例进行数值仿真,结果验证了所给方法的有效性。
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| 关 键 词： | 二部图 复杂动力网络 权值 识别 |
Model and Weight Identification of a Weighted Bipartite Graph Complex Dynamical Network |
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| DENG Guang-ming,LUO Fu-yan.Model and Weight Identification of a Weighted Bipartite Graph Complex Dynamical Network[J].Journal of Guilin University of Technology,2010,30(2):312-315. |
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| Authors: | DENG Guang-ming LUO Fu-yan |
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| Affiliation: | (College of Science,Guilin University of Technology,Guilin 541004,China) |
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| Abstract: | A weighted bipartite graph complex dynamical network model is proposed.Based on adaptive feedback technology,a general method is provided to identify the weight of the network by constructing synchronous networks in drive-response framework.The conclusion is proved theoretically based on LaSalle invariance principle.Some numerical simulations with the chaotic Lorenz and Lü systems are given to demonstrate the effectiveness of the proposed method. |
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| Keywords: | bipartite graph complex dynamical network weight identification |
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