{"title":"基于采样数据的多智能体系统事件触发仿射编队控制","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":"{\"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}","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}
Sampled-data-based Event-triggered Affine Formation Control for Multi-agent Systems with Intergrator Dynamics
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.