Yi Lu, Ji Huang, Zhenlong Xiao, Xin Wang, Desheng Zhang
{"title":"Sample-data Consensus of Position Synchronization in Static Directed Networks","authors":"Yi Lu, Ji Huang, Zhenlong Xiao, Xin Wang, Desheng Zhang","doi":"10.1109/RCAR54675.2022.9872262","DOIUrl":null,"url":null,"abstract":"The consensus problem of position synchronization for general multi-agent systems in static directed network is discussed in this paper. A distributed synchronous periodic sampling control law is proposed, which is applied to the multi-agent system where all agents move with an uniform acceleration. Furthermore, we show that position synchronization consensus may be obtained as long as the sample period of all agents are less than a clearly calculated threshold. Finally, the efficiency of the proposed method is demonstrated through simulation and experiment.","PeriodicalId":304963,"journal":{"name":"2022 IEEE International Conference on Real-time Computing and Robotics (RCAR)","volume":"265 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Conference on Real-time Computing and Robotics (RCAR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RCAR54675.2022.9872262","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The consensus problem of position synchronization for general multi-agent systems in static directed network is discussed in this paper. A distributed synchronous periodic sampling control law is proposed, which is applied to the multi-agent system where all agents move with an uniform acceleration. Furthermore, we show that position synchronization consensus may be obtained as long as the sample period of all agents are less than a clearly calculated threshold. Finally, the efficiency of the proposed method is demonstrated through simulation and experiment.