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An analytic method for sensitivity analysis of complex systems

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成果类型:
期刊论文
作者:
Zhu, Yueying*;Wang, Qiuping Alexandre;Li, Wei;Cai, Xu
通讯作者:
Zhu, Yueying
作者机构:
[Zhu, Yueying; Wang, Qiuping Alexandre] Univ Maine, UMR CNRS 6283, IMMM, F-72085 Le Mans, France.
[Zhu, Yueying; Li, Wei; Cai, Xu] Cent China Normal Univ, Complex Sci Ctr, Wuhan 430079, Peoples R China.
[Zhu, Yueying; Li, Wei; Cai, Xu] Cent China Normal Univ, Inst Particle Phys, Wuhan 430079, Peoples R China.
[Wang, Qiuping Alexandre] HEI ISA ISEN Grp Engn Sch, F-59046 Lille, France.
[Li, Wei] Max Planck Inst Math Sci, D-04103 Leipzig, Germany.
通讯机构:
[Zhu, Yueying] U
Univ Maine, UMR CNRS 6283, IMMM, F-72085 Le Mans, France.
语种:
英文
关键词:
Variance propagation;Central moment;Taylor series;Sensitivity analysis;Complex systems
期刊:
Physica A-Statistical Mechanics and its Applications
ISSN:
0378-4371
年:
2017
卷:
469
页码:
52-59
基金类别:
Programme of Introducing Talents of Discipline to Universities [B08033]; China Scholarship CouncilChina Scholarship Council [201406770035]
机构署名:
本校为其他机构
院系归属:
物理科学与技术学院
心理学院
摘要:
Sensitivity analysis is concerned with understanding how the model output depends on uncertainties (variances) in inputs and identifying which inputs are important in contributing to the prediction imprecision. Uncertainty determination in output is the most crucial step in sensitivity analysis. In the present paper, an analytic expression, which can exactly evaluate the uncertainty in output as a function of the output's derivatives and inputs’central moments, is firstly deduced for general multivariate models with given relationship between output and inputs in terms of Taylor series e...

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