{"title":"开放多智能体系统中的弹性共识","authors":"Yuanyi Tang;Yuezu Lv;Jialing Zhou;Maciej Ogorzałek","doi":"10.1109/LCSYS.2025.3580518","DOIUrl":null,"url":null,"abstract":"The advancements in resilient consensus research largely relied on the assumption of a time-invariant agent set, limiting their applicability in dynamic environments. This letter extends the resilient consensus problem to a more dynamic setting by incorporating agent arrivals and departures, modeling an open multi-agent system. To ensure resilient consensus in such systems, we propose a novel algorithm that separately designs update schemes for cooperative remaining agents and newly joining agents. Furthermore, we establish and analyze the sufficient condition for resilient consensus under malicious attacks in open multi-agent systems. Numerical examples are provided to validate the effectiveness of our theoretical findings.","PeriodicalId":37235,"journal":{"name":"IEEE Control Systems Letters","volume":"9 ","pages":"1261-1266"},"PeriodicalIF":2.0000,"publicationDate":"2025-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Resilient Consensus in Open Multi-Agent Systems\",\"authors\":\"Yuanyi Tang;Yuezu Lv;Jialing Zhou;Maciej Ogorzałek\",\"doi\":\"10.1109/LCSYS.2025.3580518\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The advancements in resilient consensus research largely relied on the assumption of a time-invariant agent set, limiting their applicability in dynamic environments. This letter extends the resilient consensus problem to a more dynamic setting by incorporating agent arrivals and departures, modeling an open multi-agent system. To ensure resilient consensus in such systems, we propose a novel algorithm that separately designs update schemes for cooperative remaining agents and newly joining agents. Furthermore, we establish and analyze the sufficient condition for resilient consensus under malicious attacks in open multi-agent systems. Numerical examples are provided to validate the effectiveness of our theoretical findings.\",\"PeriodicalId\":37235,\"journal\":{\"name\":\"IEEE Control Systems Letters\",\"volume\":\"9 \",\"pages\":\"1261-1266\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2025-06-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Control Systems Letters\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/11038924/\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"AUTOMATION & CONTROL SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Control Systems Letters","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/11038924/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
The advancements in resilient consensus research largely relied on the assumption of a time-invariant agent set, limiting their applicability in dynamic environments. This letter extends the resilient consensus problem to a more dynamic setting by incorporating agent arrivals and departures, modeling an open multi-agent system. To ensure resilient consensus in such systems, we propose a novel algorithm that separately designs update schemes for cooperative remaining agents and newly joining agents. Furthermore, we establish and analyze the sufficient condition for resilient consensus under malicious attacks in open multi-agent systems. Numerical examples are provided to validate the effectiveness of our theoretical findings.