Leader-following consensus of multi-agent systems under antagonistic networks
文献类型：期刊论文
| 作者 | Wang, Qianyao3; Liu, Kexin4,5; Wang, Xiong1; Wu, Lulu2; Lu, Jinhu4,5 |
| 刊名 | NEUROCOMPUTING
 |
| 出版日期 | 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 |
| WOS记录号 | WOS:000579803700028 |
| 出版者 | ELSEVIER |
| 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.Chinese Acad Sci, Acad Math & Syst Sci, Key Lab Syst & Control, Beijing 100190, Peoples R China 4.Beihang Univ, State Key Lab Software Dev Environm, Sch Automat Sci & Elect Engn, Beijing 100191, Peoples R China 5.Beihang Univ, Beijing Adv Innovat Ctr Big Data & Brain Comp, Beijing 100191, 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. |
入库方式： OAI收割
来源：数学与系统科学研究院
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