{"title":"基于内模原理的多智能体编队控制","authors":"D. W. Djamari, M. Fikri","doi":"10.1109/ICEVT55516.2022.9924748","DOIUrl":null,"url":null,"abstract":"This work discusses formation control of heterogeneous Multi-Agent Systems (MASs) under discrete time setting where its formation size is scalable by a scaling factor. The communication network is assumed to be jointly connected and a leader-follower network is used such that the formation size can be adjusted by the leader agent. The proposed algorithm is based on the discrete time version of the internal model principle. Numerical examples are shown to illustrate the proposed method.","PeriodicalId":115017,"journal":{"name":"2022 7th International Conference on Electric Vehicular Technology (ICEVT)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multi-Agent Formation Control using Internal Model Principle\",\"authors\":\"D. W. Djamari, M. Fikri\",\"doi\":\"10.1109/ICEVT55516.2022.9924748\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This work discusses formation control of heterogeneous Multi-Agent Systems (MASs) under discrete time setting where its formation size is scalable by a scaling factor. The communication network is assumed to be jointly connected and a leader-follower network is used such that the formation size can be adjusted by the leader agent. The proposed algorithm is based on the discrete time version of the internal model principle. Numerical examples are shown to illustrate the proposed method.\",\"PeriodicalId\":115017,\"journal\":{\"name\":\"2022 7th International Conference on Electric Vehicular Technology (ICEVT)\",\"volume\":\"43 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-09-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 7th International Conference on Electric Vehicular Technology (ICEVT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICEVT55516.2022.9924748\",\"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 7th International Conference on Electric Vehicular Technology (ICEVT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEVT55516.2022.9924748","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multi-Agent Formation Control using Internal Model Principle
This work discusses formation control of heterogeneous Multi-Agent Systems (MASs) under discrete time setting where its formation size is scalable by a scaling factor. The communication network is assumed to be jointly connected and a leader-follower network is used such that the formation size can be adjusted by the leader agent. The proposed algorithm is based on the discrete time version of the internal model principle. Numerical examples are shown to illustrate the proposed method.