基于时间平均的带噪声通信的多智能体共识

2014 European Control Conference (ECC) Pub Date : 2014-06-24 DOI:10.1109/ECC.2014.6862595

R. Morita, T. Wada, I. Masubuchi, T. Asai, Y. Fujisaki

{"title":"基于时间平均的带噪声通信的多智能体共识","authors":"R. Morita, T. Wada, I. Masubuchi, T. Asai, Y. Fujisaki","doi":"10.1109/ECC.2014.6862595","DOIUrl":null,"url":null,"abstract":"A stochastic approximation with averaging is applied to a consensus algorithm for multi-agent systems and the convergence of the algorithm is analyzed. The consensus is considered with respect to the time average of the states of agents. For the fixed network structure and time-varying structure, the relation between the number of iterations of the algorithm and consensus accuracy is explicitly clarified. Finally a numerical example is shown and a presented theorem is demonstrated.","PeriodicalId":251538,"journal":{"name":"2014 European Control Conference (ECC)","volume":"131 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Multi-agent consensus with noisy communication via time averaging\",\"authors\":\"R. Morita, T. Wada, I. Masubuchi, T. Asai, Y. Fujisaki\",\"doi\":\"10.1109/ECC.2014.6862595\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A stochastic approximation with averaging is applied to a consensus algorithm for multi-agent systems and the convergence of the algorithm is analyzed. The consensus is considered with respect to the time average of the states of agents. For the fixed network structure and time-varying structure, the relation between the number of iterations of the algorithm and consensus accuracy is explicitly clarified. Finally a numerical example is shown and a presented theorem is demonstrated.\",\"PeriodicalId\":251538,\"journal\":{\"name\":\"2014 European Control Conference (ECC)\",\"volume\":\"131 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-06-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 European Control Conference (ECC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ECC.2014.6862595\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 European Control Conference (ECC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ECC.2014.6862595","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 1

摘要

将随机逼近法应用于多智能体系统的一致性算法，并分析了该算法的收敛性。协商一致意见是考虑相对于代理人的状态的时间平均值。对于固定网络结构和时变网络结构，明确了算法迭代次数与一致性精度之间的关系。最后给出了一个数值算例，并对所提出的定理进行了验证。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Multi-agent consensus with noisy communication via time averaging

A stochastic approximation with averaging is applied to a consensus algorithm for multi-agent systems and the convergence of the algorithm is analyzed. The consensus is considered with respect to the time average of the states of agents. For the fixed network structure and time-varying structure, the relation between the number of iterations of the algorithm and consensus accuracy is explicitly clarified. Finally a numerical example is shown and a presented theorem is demonstrated.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2014 European Control Conference (ECC)

自引率

0.00%

发文量