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Leader-following consensus of multi-agent systems under antagonistic networks
Wang, Qianyao1; Liu, Kexin2,3; Wang, Xiong4; Wu, Lulu5; Lu, Jinhu2,3
2020-11-06
Source PublicationNEUROCOMPUTING
ISSN0925-2312
Volume413Pages:339-347
AbstractIn this paper, we address the leader-following consensus of multi-agent systems (MASs) under a class of antagonistic networks. Different from the traditional literature, in our model, whether a follower can access the leader depends on a matrix instead of a scalar. For antagonistic and directed networks with structurally balanced properties, sufficient conditions are established under which the MASs will achieve bipartite consensus. Detailed algorithms are proposed to design the gain matrices and the coupling strength. What is more, we design adaptive laws to self-tune the value of the coupling strength. Simulation results are also given to verify the effectiveness of our methods. (C) 2020 Published by Elsevier B.V.
KeywordMulti-agent systems Signed graph Bipartite consensus Adaptive regulation
DOI10.1016/j.neucom.2020.07.006
Indexed BySCI
Language英语
Funding ProjectNational Key Research and Development Program of China[2016YFB0800401] ; National Natural Science Foundation of China[61621003] ; National Natural Science Foundation of China[61532020]
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence
WOS IDWOS:000579803700028
PublisherELSEVIER
Citation statistics
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/52308
Collection中国科学院数学与系统科学研究院
Corresponding AuthorLu, Jinhu
Affiliation1.Chinese Acad Sci, Acad Math & Syst Sci, Key Lab Syst & Control, Beijing 100190, Peoples R China
2.Beihang Univ, State Key Lab Software Dev Environm, Sch Automat Sci & Elect Engn, Beijing 100191, Peoples R China
3.Beihang Univ, Beijing Adv Innovat Ctr Big Data & Brain Comp, Beijing 100191, Peoples R China
4.Northwest Univ, Sch Math, Xian 710075, Peoples R China
5.Shandong Jianzhu Univ, Sch Sci, Jinan 250101, Peoples R China
Recommended Citation
GB/T 7714
Wang, Qianyao,Liu, Kexin,Wang, Xiong,et al. Leader-following consensus of multi-agent systems under antagonistic networks[J]. NEUROCOMPUTING,2020,413:339-347.
APA Wang, Qianyao,Liu, Kexin,Wang, Xiong,Wu, Lulu,&Lu, Jinhu.(2020).Leader-following consensus of multi-agent systems under antagonistic networks.NEUROCOMPUTING,413,339-347.
MLA Wang, Qianyao,et al."Leader-following consensus of multi-agent systems under antagonistic networks".NEUROCOMPUTING 413(2020):339-347.
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