KMS Of Academy of mathematics and systems sciences, CAS
| Identifying topologies and system parameters of uncertain time-varying delayed complex networks | |
Wang Xiong1,2; Gu HaiBo1,2; Wang QianYao1,2; Lu JinHu1,3,4
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| 2019 | |
| Source Publication | SCIENCE CHINA-TECHNOLOGICAL SCIENCES
 |
| ISSN | 1674-7321 |
| Volume | 62Issue:1Pages:94-105 |
| Abstract | Node dynamics and network topologies play vital roles in determining the network features and network dynamical behaviors. Thus it is of great theoretical significance and practical value to recover the topology structures and system parameters of uncertain complex networks with available information. This paper presents an adaptive anticipatory synchronization-based approach to identify the unknown system parameters and network topological structures of uncertain time-varying delayed complex networks in the presence of noise. Moreover, during the identification process, our proposed scheme guarantees anticipatory synchronization between the uncertain drive and constructed auxiliary response network simultaneously. Particularly, our method can be extended to several special cases. Furthermore, numerical simulations are provided to verify the effectiveness and applicability of our method for reconstructing network topologies and node parameters. We hope our method can provide basic insight into future research on addressing reconstruction issues of uncertain realistic and large-scale complex networks. |
| Keyword | system parameters and network topologies identification anticipatory synchronization uncertain time-varying delayed complex networks noise-perturbed complex networks |
| DOI | 10.1007/s11431-018-9287-0 |
| 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] |
| WOS Research Area | Engineering ; Materials Science |
| WOS Subject | Engineering, Multidisciplinary ; Materials Science, Multidisciplinary |
| WOS ID | WOS:000459311600010 |
| Publisher | SCIENCE PRESS |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.amss.ac.cn/handle/2S8OKBNM/32663 |
| Collection | 系统科学研究所 |
| 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 100191, Peoples R China 4.Beihang Univ, Beijing Adv Innovat Ctr Big Data & Brain Comp, Beijing 100191, Peoples R China |
| Recommended Citation GB/T 7714 | Wang Xiong,Gu HaiBo,Wang QianYao,et al. Identifying topologies and system parameters of uncertain time-varying delayed complex networks[J]. SCIENCE CHINA-TECHNOLOGICAL SCIENCES,2019,62(1):94-105. |
| APA | Wang Xiong,Gu HaiBo,Wang QianYao,&Lu JinHu.(2019).Identifying topologies and system parameters of uncertain time-varying delayed complex networks.SCIENCE CHINA-TECHNOLOGICAL SCIENCES,62(1),94-105. |
| MLA | Wang Xiong,et al."Identifying topologies and system parameters of uncertain time-varying delayed complex networks".SCIENCE CHINA-TECHNOLOGICAL SCIENCES 62.1(2019):94-105. |
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