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Reaching a stochastic consensus in the noisy networks of linear MIMO agents: Dynamic output-feedback and convergence rate
Wang YunPeng1; Cheng Long1; Yang ChenGuang2,3; Hou ZengGuang1; Tan Min1
Source PublicationSCIENCE CHINA-TECHNOLOGICAL SCIENCES
2016
Volume59Issue:1Pages:45-54
SubtypeArticle
AbstractThis paper addresses the leader-following consensus problem of linear multi-agent systems (MASs) with communication noise. Each agent's dynamical behavior is described by a linear multi-input and multi-output (MIMO) system, and the agent's full state is assumed to be unavailable. To deal with this challenge, a state observer is constructed to estimate the agent's full state. A dynamic output-feedback based protocol that is based on the estimated state is proposed. To mitigate the effect of communication noise, noise-attenuation gains are also introduced into the proposed protocol. In this study, each agent is allowed to have its own noise-attenuation gain. It is shown that the proposed protocol can solve the mean square leader-following consensus problem of a linear MIMO MAS. Moreover, if all noise-attenuation gains are of I similar to(t (-beta) ), where beta a(0,1), the convergence rate of the MAS can be quantitatively analyzed. It turns out that all followers' states converge to the leader's state in the mean square sense at a rate of O(t (-beta) ).
KeywordMulti-agent System Mean Square Consensus Communication Noise Noise-attenuation Gain Convergence Rate
WOS HeadingsScience & Technology ; Technology
DOI10.1007/s11431-015-5975-0
WOS KeywordMULTIAGENT SYSTEMS ; COMMUNICATION NOISES ; SWITCHING TOPOLOGIES ; CONTAINMENT CONTROL ; COORDINATION ; LEADER ; ALGORITHMS ; TRACKING
Indexed BySCI
Language英语
Funding OrganizationNational Natural Science Foundation of China(61422310 ; Beijing Nova Program(Z121101002512066) ; Guangdong Provincial Natural Science Foundation(2014A030313266) ; 61370032 ; 61225017 ; 61421004)
WOS Research AreaEngineering ; Materials Science
WOS SubjectEngineering, Multidisciplinary ; Materials Science, Multidisciplinary
WOS IDWOS:000367897500007
Citation statistics
Cited Times:4[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/10660
Collection复杂系统管理与控制国家重点实验室_先进机器人
Affiliation1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
2.Univ Plymouth, Plymouth PL4 8AB, Devon, England
3.S China Univ Technol, Coll Automat Sci & Engn, Guangzhou 510640, Guangdong, Peoples R China
Recommended Citation
GB/T 7714
Wang YunPeng,Cheng Long,Yang ChenGuang,et al. Reaching a stochastic consensus in the noisy networks of linear MIMO agents: Dynamic output-feedback and convergence rate[J]. SCIENCE CHINA-TECHNOLOGICAL SCIENCES,2016,59(1):45-54.
APA Wang YunPeng,Cheng Long,Yang ChenGuang,Hou ZengGuang,&Tan Min.(2016).Reaching a stochastic consensus in the noisy networks of linear MIMO agents: Dynamic output-feedback and convergence rate.SCIENCE CHINA-TECHNOLOGICAL SCIENCES,59(1),45-54.
MLA Wang YunPeng,et al."Reaching a stochastic consensus in the noisy networks of linear MIMO agents: Dynamic output-feedback and convergence rate".SCIENCE CHINA-TECHNOLOGICAL SCIENCES 59.1(2016):45-54.
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