复杂动力巨系统中子系统行为间相关性研究的一种新方法

林勇新; 陈予恕; 王丹; 曹庆杰

doi:10.3879/j.issn.1000-0887.2013.09.005

复杂动力巨系统中子系统行为间相关性研究的一种新方法

doi: 10.3879/j.issn.1000-0887.2013.09.005

哈尔滨工业大学航天学院,哈尔滨 150001

基金项目: 国家自然科学基金资助项目(10632040;1172065)

详细信息

作者简介:
林勇新（1974—），男，黑龙江哈尔滨人，博士生(E-mail: linyongxin7406@126.com);陈予恕（1931—），男，山东肥城人,教授,博士生导师,俄罗斯科学院外籍院士,中国工程院院士

中图分类号: O175;O241
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- PDF下载量: 902
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出版历程
- 收稿日期: 2013-04-08
- 修回日期: 2013-05-27
- 刊出日期: 2013-09-15

New Approach to the Correlation Measurement for Subsystems in a Complex Giant System

College of Astronautics, Harbin Institute of Technology, Harbin 150001, P.R.China

Funds: The National Natural Science Foundation of China(10632040;1172065)

摘要

摘要: 复杂开放巨系统内部关系错综复杂并具有动态特征，提出了非线性相互预测算法，分析一类复杂巨系统的内部多个子系统之间行为的相互关系及表征其非线性依赖关系的耦合强度.该方法在相空间重构的基础上，仅通过小数据和微信号可得到表征子系统间依赖关系的判别值，进而通过对判别值的分析得到了各子系统的行为特征及其相互作用关系.同时文中得到的子系统间的相互作用机制，可以为金融危机的理论分析提供非线性相互预测度量.
- 非线性相互预测方法 /
- 复杂巨系统 /
- 非线性依赖耦合强度 /
- 相空间重构
Abstract: A nonlinear mutual prediction approach was presented to investigate the correlations and coupling strengths of nonlinear dependence among the subsystems in an open complex giant system, which behaved with complicated nonlinear dynamical characteristics. The time-varying discriminant values of mutual dependence obtained with the proposed method could be used to predict the correlations of the subsystems in a giant system based upon phase space reconstruction by using the observed small data and micro signal. Moreover, the obtained mechanism of interaction between the subsystems provides a nonlinear mutual prediction measurement, which is suitable for the analysis of financial crisis analytically.
- nonlinear mutual prediction approach /
- complex giant system /
- nonlinear dependent coupling strength /
- phase space reconstruction

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参考文献(28)

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复杂动力巨系统中子系统行为间相关性研究的一种新方法

doi: 10.3879/j.issn.1000-0887.2013.09.005

作者简介:
林勇新（1974—），男，黑龙江哈尔滨人，博士生(E-mail: linyongxin7406@126.com);陈予恕（1931—），男，山东肥城人,教授,博士生导师,俄罗斯科学院外籍院士,中国工程院院士

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New Approach to the Correlation Measurement for Subsystems in a Complex Giant System

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复杂动力巨系统中子系统行为间相关性研究的一种新方法

doi: 10.3879/j.issn.1000-0887.2013.09.005

作者简介: 林勇新（1974—），男，黑龙江哈尔滨人，博士生(E-mail: linyongxin7406@126.com);陈予恕（1931—），男，山东肥城人,教授,博士生导师,俄罗斯科学院外籍院士,中国工程院院士

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New Approach to the Correlation Measurement for Subsystems in a Complex Giant System

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出版历程

目录

作者简介:
林勇新（1974—），男，黑龙江哈尔滨人，博士生(E-mail: linyongxin7406@126.com);陈予恕（1931—），男，山东肥城人,教授,博士生导师,俄罗斯科学院外籍院士,中国工程院院士