Topology inference of uncertain complex dynamical networks and its applications in hidden nodes detection

doi:10.1007/s11431-016-6050-1

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	Topology inference of uncertain complex dynamical networks and its applications in hidden nodes detection
	Wang, YingFei 1; Wu, XiaoQun 1,2; Feng, Hui 1; Lu, JunAn 1; Lu, JinHu3
	2016-08-01
发表期刊	SCIENCE CHINA-TECHNOLOGICAL SCIENCES
ISSN	1674-7321
卷号	59 期号:8 页码:1232-1243
摘要	The topological structure of a complex dynamical network plays a vital role in determining the network's evolutionary mechanisms and functional behaviors, thus recognizing and inferring the network structure is of both theoretical and practical significance. Although various approaches have been proposed to estimate network topologies, many are not well established to the noisy nature of network dynamics and ubiquity of transmission delay among network individuals. This paper focuses on topology inference of uncertain complex dynamical networks. An auxiliary network is constructed and an adaptive scheme is proposed to track topological parameters. It is noteworthy that the considered network model is supposed to contain practical stochastic perturbations, and noisy observations are taken as control inputs of the constructed auxiliary network. In particular, the control technique can be further employed to locate hidden sources (or latent variables) in networks. Numerical examples are provided to illustrate the effectiveness of the proposed scheme. In addition, the impact of coupling strength and coupling delay on identification performance is assessed. The proposed scheme provides engineers with a convenient approach to infer topologies of general complex dynamical networks and locate hidden sources, and the detailed performance evaluation can further facilitate practical circuit design.
关键词	complex dynamical network topology inference coupling delay stochastic perturbation hidden node
DOI	10.1007/s11431-016-6050-1
语种	英语
资助项目	National Science and Technology Major Project of China[2014ZX10004001-014] ; National Natural Science Foundation of China[61573262] ; National Natural Science Foundation of China[61532020] ; National Natural Science Foundation of China[11472290] ; Fundamental Research Funds for the Central Universities[2014201020206]
WOS研究方向	Engineering ; Materials Science
WOS类目	Engineering, Multidisciplinary ; Materials Science, Multidisciplinary
WOS记录号	WOS:000381265400010
出版者	SCIENCE PRESS
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/23303
专题	系统科学研究所
通讯作者	Wu, XiaoQun; Feng, Hui; Lu, JinHu
作者单位	1.Wuhan Univ, Sch Math & Stat, Wuhan 430072, Peoples R China 2.Wuhan Univ, Computat Sci Hubei Key Lab, Wuhan 430072, Peoples R China 3.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Wang, YingFei,Wu, XiaoQun,Feng, Hui,et al. Topology inference of uncertain complex dynamical networks and its applications in hidden nodes detection[J]. SCIENCE CHINA-TECHNOLOGICAL SCIENCES,2016,59(8):1232-1243.
APA	Wang, YingFei,Wu, XiaoQun,Feng, Hui,Lu, JunAn,&Lu, JinHu.(2016).Topology inference of uncertain complex dynamical networks and its applications in hidden nodes detection.SCIENCE CHINA-TECHNOLOGICAL SCIENCES,59(8),1232-1243.
MLA	Wang, YingFei,et al."Topology inference of uncertain complex dynamical networks and its applications in hidden nodes detection".SCIENCE CHINA-TECHNOLOGICAL SCIENCES 59.8(2016):1232-1243.