{"title":"具有一步随机时滞的多智能体系统群体控制的ILC方法","authors":"Jialu Zhang, Yong Fang, Yuzho Wu","doi":"10.1109/DDCLS.2017.8068075","DOIUrl":null,"url":null,"abstract":"In this paper, we consider iterative learning control(ILC) for discrete-time multi-agent system formation with one-step random time-delay. Random delays during transmission seriously affect the convergence performance of multi-agent formation. Based on one-step random time-delay model, the transition matrix of system is derived, which contains the impact factors of random delays. A learning control scheme is proposed and the convergence of system tracking errors is guaranteed. Simulation results show that the convergence rate is reduced when the probabilities of time-delay are getting higher.","PeriodicalId":419114,"journal":{"name":"2017 6th Data Driven Control and Learning Systems (DDCLS)","volume":"11 3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"An ILC method of formation control for multi-agent system with one-step random time-delay\",\"authors\":\"Jialu Zhang, Yong Fang, Yuzho Wu\",\"doi\":\"10.1109/DDCLS.2017.8068075\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we consider iterative learning control(ILC) for discrete-time multi-agent system formation with one-step random time-delay. Random delays during transmission seriously affect the convergence performance of multi-agent formation. Based on one-step random time-delay model, the transition matrix of system is derived, which contains the impact factors of random delays. A learning control scheme is proposed and the convergence of system tracking errors is guaranteed. Simulation results show that the convergence rate is reduced when the probabilities of time-delay are getting higher.\",\"PeriodicalId\":419114,\"journal\":{\"name\":\"2017 6th Data Driven Control and Learning Systems (DDCLS)\",\"volume\":\"11 3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 6th Data Driven Control and Learning Systems (DDCLS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DDCLS.2017.8068075\",\"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 6th Data Driven Control and Learning Systems (DDCLS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DDCLS.2017.8068075","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An ILC method of formation control for multi-agent system with one-step random time-delay
In this paper, we consider iterative learning control(ILC) for discrete-time multi-agent system formation with one-step random time-delay. Random delays during transmission seriously affect the convergence performance of multi-agent formation. Based on one-step random time-delay model, the transition matrix of system is derived, which contains the impact factors of random delays. A learning control scheme is proposed and the convergence of system tracking errors is guaranteed. Simulation results show that the convergence rate is reduced when the probabilities of time-delay are getting higher.