KMS Of Academy of mathematics and systems sciences, CAS
| Recovering Network Structures With Time-Varying Nodal Parameters | |
| Wang, Xiong1,2; Lu, Jinhu3,4; Wu, Xiaoqun5 | |
| 2020-07-01 | |
| Source Publication | IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
 |
| ISSN | 2168-2216 |
| Volume | 50Issue:7Pages:2588-2598 |
| Abstract | Complex networks with time-varying nodal parameters are of considerable interest and significance in many areas of science and engineering. Reconstructing networks with unknown but continuously bounded time-varying nodal parameters from limited measured information is desirable and of significant interest for using and controlling these networks. Based on the Lasso method and the Taylor expansion approximation, we develop an efficient and feasible, completely data-driven approach to predicting the structures of networks with unknown but continuously bounded time-varying nodal parameters in the presence or absence of noise. In particular, the reconstruction framework is implemented on several different kinds of artificial, two-layer and real complex networks composed of various parameter-varying nodal dynamics. Through numerical simulations, we demonstrate that, networks structures can be fully reconstructed with limited available information and presence or absence of noise, though systemic parameters are continuously time-varying. In addition, our method is also applicable to structure identification of multilayer networks as well as networks with constant nodal parameters. We expect our method to be useful in addressing issues of significantly current concern in the information era, natural networks, and large-scale multilayer networks. |
| Keyword | Complex networks Time-varying systems Taylor series Power system dynamics Vehicle dynamics Topology Complex network Lasso method network reconstruction time-varying nodal parameter |
| DOI | 10.1109/TSMC.2018.2822780 |
| Indexed By | SCI |
| Language | 英语 |
| Funding Project | National Key Research and Development Program of China[2016YFB0800401] ; National Natural Science Foundation of China[61621003] ; National Natural Science Foundation of China[61532020] ; National Natural Science Foundation of China[11472290] ; National Natural Science Foundation of China[61472027] ; National Natural Science Foundation of China[61573262] |
| WOS Research Area | Automation & Control Systems ; Computer Science |
| WOS Subject | Automation & Control Systems ; Computer Science, Cybernetics |
| WOS ID | WOS:000544033400025 |
| Publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.amss.ac.cn/handle/2S8OKBNM/51730 |
| Collection | 中国科学院数学与系统科学研究院 |
| Corresponding Author | Lu, Jinhu |
| Affiliation | 1.Chinese Acad Sci, Acad Math & Syst Sci, LSC, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Sch Math Sci, Beijing 100049, Peoples R China 3.Beihang Univ, Sch Automat Sci & Elect Engn, State Key Lab Software Dev Environm, Beijing Adv Innovat Ctr Big Data & Brain Comp, Beijing 100191, Peoples R China 4.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China 5.Wuhan Univ, Sch Math & Stat, Wuhan 430072, Peoples R China |
| Recommended Citation GB/T 7714 | Wang, Xiong,Lu, Jinhu,Wu, Xiaoqun. Recovering Network Structures With Time-Varying Nodal Parameters[J]. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS,2020,50(7):2588-2598. |
| APA | Wang, Xiong,Lu, Jinhu,&Wu, Xiaoqun.(2020).Recovering Network Structures With Time-Varying Nodal Parameters.IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS,50(7),2588-2598. |
| MLA | Wang, Xiong,et al."Recovering Network Structures With Time-Varying Nodal Parameters".IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS 50.7(2020):2588-2598. |
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