{"title":"Quantized consensus of first-order multi-agent systems under directed communication topologies","authors":"Jianzhen Li, Shuxia Ye","doi":"10.1109/ICCA.2013.6564980","DOIUrl":null,"url":null,"abstract":"This paper investigates the sampled-data based consensus problem of first-order multi-agent systems with quantized communication. A deterministic consensus protocol with the logarithmic quantizer proposed in the literature is reinvestigated. A new sufficient condition is derived under which consensus is achieved. It is proved that for any network topology that has a directed spanning tree, consensus is achieved if the quantization accuracy parameter and the sampling period are small enough. A numerical example is given to illustrate the theoretical results.","PeriodicalId":336534,"journal":{"name":"2013 10th IEEE International Conference on Control and Automation (ICCA)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 10th IEEE International Conference on Control and Automation (ICCA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCA.2013.6564980","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
This paper investigates the sampled-data based consensus problem of first-order multi-agent systems with quantized communication. A deterministic consensus protocol with the logarithmic quantizer proposed in the literature is reinvestigated. A new sufficient condition is derived under which consensus is achieved. It is proved that for any network topology that has a directed spanning tree, consensus is achieved if the quantization accuracy parameter and the sampling period are small enough. A numerical example is given to illustrate the theoretical results.