{"title":"Sampled-data-based Event-triggered Affine Formation Control for Multi-agent Systems with Intergrator Dynamics","authors":"Xiaofeng Chai, Yue Sun, Na Zhang, Shuai Ma, Yuxiang Wang, Qi Diao","doi":"10.1109/ICUS55513.2022.9987105","DOIUrl":null,"url":null,"abstract":"In this paper, the affine formation control problem is adressed using event-triggered method based on the sample data. Individuals in this system has first-order dynamics. Two different methods basing on sampled information are developed respectively. Zeno behavior is excluded as a result of the sampling schemein. Continous communication is avoided in self-triggered strategy. It can be proved that affine formation is realized eventually under two proposed control schemes. Finally, numerical examples show the validity of proposed strategies.","PeriodicalId":345773,"journal":{"name":"2022 IEEE International Conference on Unmanned Systems (ICUS)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Conference on Unmanned Systems (ICUS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICUS55513.2022.9987105","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract
In this paper, the affine formation control problem is adressed using event-triggered method based on the sample data. Individuals in this system has first-order dynamics. Two different methods basing on sampled information are developed respectively. Zeno behavior is excluded as a result of the sampling schemein. Continous communication is avoided in self-triggered strategy. It can be proved that affine formation is realized eventually under two proposed control schemes. Finally, numerical examples show the validity of proposed strategies.
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