Distributed asynchronous event-triggered consensus of nonlinear multi-agent systems with disturbances: An extended dissipative approach
Ma, Chao1; Qiao, Hong2
Source PublicationNEUROCOMPUTING
2017-06-21
Volume243Pages:103-114
SubtypeArticle
AbstractThis 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.
KeywordNonlinear Multi-agent Systems Extended Dissipative Consensus Event-triggered Consensus
WOS HeadingsScience & Technology ; Technology
DOI10.1016/j.neucom.2017.03.005
WOS KeywordTIME-VARYING DELAYS ; SAMPLED-DATA ; STATE ESTIMATION ; SWITCHING TOPOLOGY ; NETWORKS ; STABILITY ; DYNAMICS ; LEADER
Indexed BySCI
Language英语
Funding OrganizationStrategic 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 Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence
WOS IDWOS:000399511900010
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/15092
Collection复杂系统管理与控制国家重点实验室_机器人理论与应用
Affiliation1.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
Recommended Citation
GB/T 7714
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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