Leader-following consensus of multi-agent systems under antagonistic networks

doi:10.1016/j.neucom.2020.07.006

	Leader-following consensus of multi-agent systems under antagonistic networks
	Wang, Qianyao 5; Liu, Kexin 3,4; Wang, Xiong 1; Wu, Lulu 2; Lu, Jinhu 3,4
刊名	NEUROCOMPUTING
	2020-11-06
卷号	413 页码:339-347
关键词	Multi-agent systems Signed graph Bipartite consensus Adaptive regulation
ISSN号	0925-2312
DOI	10.1016/j.neucom.2020.07.006
英文摘要	In 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.
资助项目	National Key Research and Development Program of China[2016YFB0800401] ; National Natural Science Foundation of China[61621003] ; National Natural Science Foundation of China[61532020]
WOS研究方向	Computer Science
语种	英语
出版者	ELSEVIER
WOS记录号	WOS:000579803700028
内容类型	期刊论文
源URL	[http://ir.amss.ac.cn/handle/2S8OKBNM/52307]
专题	中国科学院数学与系统科学研究院
通讯作者	Lu, Jinhu
作者单位	1.Northwest Univ, Sch Math, Xian 710075, Peoples R China 2.Shandong Jianzhu Univ, Sch Sci, Jinan 250101, Peoples R China 3.Beihang Univ, Beijing Adv Innovat Ctr Big Data & Brain Comp, Beijing 100191, Peoples R China 4.Beihang Univ, State Key Lab Software Dev Environm, Sch Automat Sci & Elect Engn, Beijing 100191, Peoples R China 5.Chinese Acad Sci, Acad Math & Syst Sci, Key Lab Syst & Control, Beijing 100190, Peoples R China
推荐引用方式 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.