Distributed asynchronous event-triggered consensus of nonlinear multi-agent systems with disturbances: An extended dissipative approach
Ma, Chao1; Qiao, Hong2
2017-06-21
发表期刊NEUROCOMPUTING
卷号243页码:103-114
文章类型Article
摘要This paper investigates the distributed asynchronous event-triggered consensus problem for a class of nonlinear multi-agent systems. The extended dissipative performance index is introduced for solving the consensus problem with disturbances, which can provide H-infinity, L-2 - L-infinity, passivity and dissipative consensus performances by tuning weighting matrices, respectively. Based on model transformation, sufficient consensus conditions are developed and the desired consensus controllers are designed such that the extended dissipative performance can be achieved. Two illustrative examples are utilized to show the effectiveness of the established theoretical method. (C) 2017 Elsevier B.V. All rights reserved.
关键词Nonlinear Multi-agent Systems Extended Dissipative Consensus Event-triggered Consensus
WOS标题词Science & Technology ; Technology
DOI10.1016/j.neucom.2017.03.005
关键词[WOS]TIME-VARYING DELAYS ; SAMPLED-DATA ; STATE ESTIMATION ; SWITCHING TOPOLOGY ; NETWORKS ; STABILITY ; DYNAMICS ; LEADER
收录类别SCI
语种英语
项目资助者Strategic Priority Research Program of the CAS(XDB02080003) ; Beijing Municipal Science and Technology Grants(D16110400140000 ; National Natural Science Foundation of China(61210009) ; Fundamental Research Funds for the Central Universities(FRF-TP-15-115A1) ; D161100001416001)
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence
WOS记录号WOS:000399511900010
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文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/15092
专题复杂系统管理与控制国家重点实验室_机器人理论与应用
作者单位1.Univ Sci & Technol Beijing, Sch Automat & Elect Engn, Beijing 100083, Peoples R China
2.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
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Ma, Chao,Qiao, Hong. Distributed asynchronous event-triggered consensus of nonlinear multi-agent systems with disturbances: An extended dissipative approach[J]. NEUROCOMPUTING,2017,243:103-114.
APA Ma, Chao,&Qiao, Hong.(2017).Distributed asynchronous event-triggered consensus of nonlinear multi-agent systems with disturbances: An extended dissipative approach.NEUROCOMPUTING,243,103-114.
MLA Ma, Chao,et al."Distributed asynchronous event-triggered consensus of nonlinear multi-agent systems with disturbances: An extended dissipative approach".NEUROCOMPUTING 243(2017):103-114.
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