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
2016
发表期刊SCIENCE CHINA-TECHNOLOGICAL SCIENCES
卷号59期号:1页码:45-54
文章类型Article
摘要This 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) ).
关键词Multi-agent System Mean Square Consensus Communication Noise Noise-attenuation Gain Convergence Rate
WOS标题词Science & Technology ; Technology
DOI10.1007/s11431-015-5975-0
关键词[WOS]MULTIAGENT SYSTEMS ; COMMUNICATION NOISES ; SWITCHING TOPOLOGIES ; CONTAINMENT CONTROL ; COORDINATION ; LEADER ; ALGORITHMS ; TRACKING
收录类别SCI
语种英语
项目资助者National Natural Science Foundation of China(61422310 ; Beijing Nova Program(Z121101002512066) ; Guangdong Provincial Natural Science Foundation(2014A030313266) ; 61370032 ; 61225017 ; 61421004)
WOS研究方向Engineering ; Materials Science
WOS类目Engineering, Multidisciplinary ; Materials Science, Multidisciplinary
WOS记录号WOS:000367897500007
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/10660
专题复杂系统管理与控制国家重点实验室_先进机器人
作者单位1.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
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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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