{"title":"一类多智能体系统的自适应编队控制与目标跟踪:编队机动","authors":"V. Gazi, B. Fidan","doi":"10.1109/ICCAS.2013.6703867","DOIUrl":null,"url":null,"abstract":"In this article we develop a direct adaptive fuzzy control based methodology for formation control and target tracking in a class of multi-agent systems with nonlinear and uncertain dynamics. The agents are assumed to be able to measure only their relative position to the other agents and the target and high gain observers are applied to estimate the derivatives of the combined tracking and formation errors. Various formation maneuvers such as contraction/expansion, rotation, and reconfiguration of the formation are also considered. Bounding and sliding mode control terms are used to guarantee stability and robust performance. Simple numerical simulations are also provided to verify the effectiveness of the algorithm.","PeriodicalId":415263,"journal":{"name":"2013 13th International Conference on Control, Automation and Systems (ICCAS 2013)","volume":"173 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":"{\"title\":\"Adaptive formation control and target tracking in a class of multi-agent systems: Formation maneuvers\",\"authors\":\"V. Gazi, B. Fidan\",\"doi\":\"10.1109/ICCAS.2013.6703867\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this article we develop a direct adaptive fuzzy control based methodology for formation control and target tracking in a class of multi-agent systems with nonlinear and uncertain dynamics. The agents are assumed to be able to measure only their relative position to the other agents and the target and high gain observers are applied to estimate the derivatives of the combined tracking and formation errors. Various formation maneuvers such as contraction/expansion, rotation, and reconfiguration of the formation are also considered. Bounding and sliding mode control terms are used to guarantee stability and robust performance. Simple numerical simulations are also provided to verify the effectiveness of the algorithm.\",\"PeriodicalId\":415263,\"journal\":{\"name\":\"2013 13th International Conference on Control, Automation and Systems (ICCAS 2013)\",\"volume\":\"173 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 13th International Conference on Control, Automation and Systems (ICCAS 2013)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCAS.2013.6703867\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 13th International Conference on Control, Automation and Systems (ICCAS 2013)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCAS.2013.6703867","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Adaptive formation control and target tracking in a class of multi-agent systems: Formation maneuvers
In this article we develop a direct adaptive fuzzy control based methodology for formation control and target tracking in a class of multi-agent systems with nonlinear and uncertain dynamics. The agents are assumed to be able to measure only their relative position to the other agents and the target and high gain observers are applied to estimate the derivatives of the combined tracking and formation errors. Various formation maneuvers such as contraction/expansion, rotation, and reconfiguration of the formation are also considered. Bounding and sliding mode control terms are used to guarantee stability and robust performance. Simple numerical simulations are also provided to verify the effectiveness of the algorithm.