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

文献类型：期刊论文

作者Wang, YingFei1; Wu, XiaoQun1,2; Feng, Hui1; Lu, JunAn1; Lu, JinHu3
刊名SCIENCE CHINA-TECHNOLOGICAL SCIENCES
出版日期2016-08-01
卷号59期号:8页码:1232-1243
关键词complex dynamical network topology inference coupling delay stochastic perturbation hidden node
ISSN号1674-7321
DOI10.1007/s11431-016-6050-1
英文摘要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.
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
语种英语
WOS记录号WOS:000381265400010
出版者SCIENCE PRESS
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/23302]  
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.

入库方式： OAI收割

来源：数学与系统科学研究院

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