{"title":"基于一致性估计的分布式系统极值寻求控制","authors":"S. Dougherty, M. Guay","doi":"10.1109/CDC.2014.7039924","DOIUrl":null,"url":null,"abstract":"A method for solving constrained optimization problems in real-time using a distributed control system is presented in this work. The actions of a controller is based on measurements of a part of the total cost function. The algorithm is classified as an extremum-seeking control approach because the design requires no knowledge of the cost function. The controllers coordinate movements by solving a consensus estimation problem in parallel with the optimization. A proof for the algorithm's convergence is presented. Two simulation examples are used to study the behaviour of the proposed system.","PeriodicalId":202708,"journal":{"name":"53rd IEEE Conference on Decision and Control","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":"{\"title\":\"Extremum-seeking control of distributed systems using consensus estimation\",\"authors\":\"S. Dougherty, M. Guay\",\"doi\":\"10.1109/CDC.2014.7039924\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A method for solving constrained optimization problems in real-time using a distributed control system is presented in this work. The actions of a controller is based on measurements of a part of the total cost function. The algorithm is classified as an extremum-seeking control approach because the design requires no knowledge of the cost function. The controllers coordinate movements by solving a consensus estimation problem in parallel with the optimization. A proof for the algorithm's convergence is presented. Two simulation examples are used to study the behaviour of the proposed system.\",\"PeriodicalId\":202708,\"journal\":{\"name\":\"53rd IEEE Conference on Decision and Control\",\"volume\":\"55 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"17\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"53rd IEEE Conference on Decision and Control\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CDC.2014.7039924\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"53rd IEEE Conference on Decision and Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CDC.2014.7039924","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Extremum-seeking control of distributed systems using consensus estimation
A method for solving constrained optimization problems in real-time using a distributed control system is presented in this work. The actions of a controller is based on measurements of a part of the total cost function. The algorithm is classified as an extremum-seeking control approach because the design requires no knowledge of the cost function. The controllers coordinate movements by solving a consensus estimation problem in parallel with the optimization. A proof for the algorithm's convergence is presented. Two simulation examples are used to study the behaviour of the proposed system.
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