{"title":"有向拓扑下多无人机和ugv的分布式容错时变编队控制","authors":"Shangkun Liu, Bin Jiang, Zehui Mao, You-min Zhang","doi":"10.1109/ISAS59543.2023.10164387","DOIUrl":null,"url":null,"abstract":"In this article, the distributed fault-tolerant time-varying formation control (FTTVFC) strategy is presented for the heterogeneous multiple UAVs and UGVs subject to actuator faults and external disturbances with directed communication topologies. The FTTVFC scheme is presented by utilizing the adaptive updating gains, boundary layer theory and radial basis function neural networks. According to Lyapunov function method, the formation errors are uniformly ultimately bounded (UUB). Finally, the simulation results verify the efficiency of the designed scheme.","PeriodicalId":199115,"journal":{"name":"2023 6th International Symposium on Autonomous Systems (ISAS)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Distributed Fault-Tolerant Time-Varying Formation Control for Multiple UAVs and UGVs under Directed Topologies\",\"authors\":\"Shangkun Liu, Bin Jiang, Zehui Mao, You-min Zhang\",\"doi\":\"10.1109/ISAS59543.2023.10164387\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this article, the distributed fault-tolerant time-varying formation control (FTTVFC) strategy is presented for the heterogeneous multiple UAVs and UGVs subject to actuator faults and external disturbances with directed communication topologies. The FTTVFC scheme is presented by utilizing the adaptive updating gains, boundary layer theory and radial basis function neural networks. According to Lyapunov function method, the formation errors are uniformly ultimately bounded (UUB). Finally, the simulation results verify the efficiency of the designed scheme.\",\"PeriodicalId\":199115,\"journal\":{\"name\":\"2023 6th International Symposium on Autonomous Systems (ISAS)\",\"volume\":\"95 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-06-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 6th International Symposium on Autonomous Systems (ISAS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISAS59543.2023.10164387\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 6th International Symposium on Autonomous Systems (ISAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISAS59543.2023.10164387","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Distributed Fault-Tolerant Time-Varying Formation Control for Multiple UAVs and UGVs under Directed Topologies
In this article, the distributed fault-tolerant time-varying formation control (FTTVFC) strategy is presented for the heterogeneous multiple UAVs and UGVs subject to actuator faults and external disturbances with directed communication topologies. The FTTVFC scheme is presented by utilizing the adaptive updating gains, boundary layer theory and radial basis function neural networks. According to Lyapunov function method, the formation errors are uniformly ultimately bounded (UUB). Finally, the simulation results verify the efficiency of the designed scheme.