{"title":"基于自适应共识的固定翼无人机编队控制","authors":"H. M. Guzey","doi":"10.1109/APUAVD.2017.8308805","DOIUrl":null,"url":null,"abstract":"Neural Network-based adaptive consensus control is designed in this paper for a team of fixed-wing unmanned aerial vehicles. The group of unmanned aerial vehicles moving at fixed altitudes are controlled through a novel adaptive formation controller to drive them to a pre-defined formation shape. The theoretical conjecture is verified by simulation results.","PeriodicalId":163267,"journal":{"name":"2017 IEEE 4th International Conference Actual Problems of Unmanned Aerial Vehicles Developments (APUAVD)","volume":"282 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Adaptive consensus-based formation control of fixed-wing MUAV's\",\"authors\":\"H. M. Guzey\",\"doi\":\"10.1109/APUAVD.2017.8308805\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Neural Network-based adaptive consensus control is designed in this paper for a team of fixed-wing unmanned aerial vehicles. The group of unmanned aerial vehicles moving at fixed altitudes are controlled through a novel adaptive formation controller to drive them to a pre-defined formation shape. The theoretical conjecture is verified by simulation results.\",\"PeriodicalId\":163267,\"journal\":{\"name\":\"2017 IEEE 4th International Conference Actual Problems of Unmanned Aerial Vehicles Developments (APUAVD)\",\"volume\":\"282 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE 4th International Conference Actual Problems of Unmanned Aerial Vehicles Developments (APUAVD)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/APUAVD.2017.8308805\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 4th International Conference Actual Problems of Unmanned Aerial Vehicles Developments (APUAVD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APUAVD.2017.8308805","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Adaptive consensus-based formation control of fixed-wing MUAV's
Neural Network-based adaptive consensus control is designed in this paper for a team of fixed-wing unmanned aerial vehicles. The group of unmanned aerial vehicles moving at fixed altitudes are controlled through a novel adaptive formation controller to drive them to a pre-defined formation shape. The theoretical conjecture is verified by simulation results.