{"title":"具有交换拓扑和量化测量的网络中PI协调协议的收敛性","authors":"E. Xargay, Ronald Choe, N. Hovakimyan, I. Kaminer","doi":"10.1109/CDC.2012.6426392","DOIUrl":null,"url":null,"abstract":"This paper analyzes the convergence properties of a distributed proportional-integral protocol for coordination of a network of agents with multiple leaders, dynamic information flow, and quantized measurements. We show that the integral term of the protocol allows the follower agents to `learn' the reference rate, rather than have it available a priori, and also provides disturbance rejection capabilities.","PeriodicalId":312426,"journal":{"name":"2012 IEEE 51st IEEE Conference on Decision and Control (CDC)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"Convergence of a PI coordination protocol in networks with switching topology and quantized measurements\",\"authors\":\"E. Xargay, Ronald Choe, N. Hovakimyan, I. Kaminer\",\"doi\":\"10.1109/CDC.2012.6426392\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper analyzes the convergence properties of a distributed proportional-integral protocol for coordination of a network of agents with multiple leaders, dynamic information flow, and quantized measurements. We show that the integral term of the protocol allows the follower agents to `learn' the reference rate, rather than have it available a priori, and also provides disturbance rejection capabilities.\",\"PeriodicalId\":312426,\"journal\":{\"name\":\"2012 IEEE 51st IEEE Conference on Decision and Control (CDC)\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-12-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE 51st IEEE Conference on Decision and Control (CDC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CDC.2012.6426392\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE 51st IEEE Conference on Decision and Control (CDC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CDC.2012.6426392","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Convergence of a PI coordination protocol in networks with switching topology and quantized measurements
This paper analyzes the convergence properties of a distributed proportional-integral protocol for coordination of a network of agents with multiple leaders, dynamic information flow, and quantized measurements. We show that the integral term of the protocol allows the follower agents to `learn' the reference rate, rather than have it available a priori, and also provides disturbance rejection capabilities.