{"title":"基于粒子群优化算法的多机器人编队控制中的通信故障","authors":"Abbas Rabah, Qinghe Wu","doi":"10.1109/IHMSC.2015.218","DOIUrl":null,"url":null,"abstract":"In this paper, formation tracking of multiple robots is studied. The communication between robots may fail due to the noise and external disturbances. In order to overcome the communication failure between followers and leader, particle swarm algorithm is applied to estimate online the trajectory of the leader. Finally simulations are curried out to verify the effectiveness of the proposed algorithm.","PeriodicalId":6592,"journal":{"name":"2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"PP 1","pages":"448-451"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Communication Failure in Formation Control of Multiple Robots Based on Particle Swarm Optimization Algorithm\",\"authors\":\"Abbas Rabah, Qinghe Wu\",\"doi\":\"10.1109/IHMSC.2015.218\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, formation tracking of multiple robots is studied. The communication between robots may fail due to the noise and external disturbances. In order to overcome the communication failure between followers and leader, particle swarm algorithm is applied to estimate online the trajectory of the leader. Finally simulations are curried out to verify the effectiveness of the proposed algorithm.\",\"PeriodicalId\":6592,\"journal\":{\"name\":\"2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics\",\"volume\":\"PP 1\",\"pages\":\"448-451\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-11-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IHMSC.2015.218\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IHMSC.2015.218","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Communication Failure in Formation Control of Multiple Robots Based on Particle Swarm Optimization Algorithm
In this paper, formation tracking of multiple robots is studied. The communication between robots may fail due to the noise and external disturbances. In order to overcome the communication failure between followers and leader, particle swarm algorithm is applied to estimate online the trajectory of the leader. Finally simulations are curried out to verify the effectiveness of the proposed algorithm.