{"title":"类车机器人网络的分布式连接控制","authors":"Ni Zhang, Liwei Yuan, Xiongxiong He","doi":"10.1109/CCDC.2015.7162477","DOIUrl":null,"url":null,"abstract":"This paper investigates communication connectivity control of mobile car-like robot networks. Employing algebraic graph theory, LaSalle invariant and negative gradient algorithm, the distributed control laws are proposed to maintain the communication connectivity of mobile car-like robots. With the control laws, robots can achieve the maximum connectivity topology. The simulation illustrates the effectiveness of the presented control laws.","PeriodicalId":273292,"journal":{"name":"The 27th Chinese Control and Decision Conference (2015 CCDC)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Distributed connectivity control of car-like robot networks\",\"authors\":\"Ni Zhang, Liwei Yuan, Xiongxiong He\",\"doi\":\"10.1109/CCDC.2015.7162477\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper investigates communication connectivity control of mobile car-like robot networks. Employing algebraic graph theory, LaSalle invariant and negative gradient algorithm, the distributed control laws are proposed to maintain the communication connectivity of mobile car-like robots. With the control laws, robots can achieve the maximum connectivity topology. The simulation illustrates the effectiveness of the presented control laws.\",\"PeriodicalId\":273292,\"journal\":{\"name\":\"The 27th Chinese Control and Decision Conference (2015 CCDC)\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-05-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The 27th Chinese Control and Decision Conference (2015 CCDC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCDC.2015.7162477\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 27th Chinese Control and Decision Conference (2015 CCDC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCDC.2015.7162477","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Distributed connectivity control of car-like robot networks
This paper investigates communication connectivity control of mobile car-like robot networks. Employing algebraic graph theory, LaSalle invariant and negative gradient algorithm, the distributed control laws are proposed to maintain the communication connectivity of mobile car-like robots. With the control laws, robots can achieve the maximum connectivity topology. The simulation illustrates the effectiveness of the presented control laws.