Knowledge Commons of Institute of Automation，CAS
| 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
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| 发表期刊 | SCIENCE CHINA-TECHNOLOGICAL SCIENCES
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| 2016 | |
| 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 |
| DOI | 10.1007/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 | 复杂系统认知与决策实验室_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 |
| 第一作者单位 | 中国科学院自动化研究所 |
| 推荐引用方式 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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