{"title":"一类最优分散控制问题的收敛算法","authors":"P. Makila","doi":"10.1109/CDC.1984.272151","DOIUrl":null,"url":null,"abstract":"An efficient globally convergent algorithm for the solution of a class of optimal decentralized control problems for linear discrete time stochastic systems is given. The presented algorithm is a generalization of a convergent modification of the Anderson-Moore method for the optimal output feedback problem to optimal decentralized control problems.","PeriodicalId":269680,"journal":{"name":"The 23rd IEEE Conference on Decision and Control","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1984-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A convergent algorithm for a class of optimal decentralized control problems\",\"authors\":\"P. Makila\",\"doi\":\"10.1109/CDC.1984.272151\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An efficient globally convergent algorithm for the solution of a class of optimal decentralized control problems for linear discrete time stochastic systems is given. The presented algorithm is a generalization of a convergent modification of the Anderson-Moore method for the optimal output feedback problem to optimal decentralized control problems.\",\"PeriodicalId\":269680,\"journal\":{\"name\":\"The 23rd IEEE Conference on Decision and Control\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1984-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The 23rd IEEE Conference on Decision and Control\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CDC.1984.272151\",\"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 23rd IEEE Conference on Decision and Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CDC.1984.272151","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A convergent algorithm for a class of optimal decentralized control problems
An efficient globally convergent algorithm for the solution of a class of optimal decentralized control problems for linear discrete time stochastic systems is given. The presented algorithm is a generalization of a convergent modification of the Anderson-Moore method for the optimal output feedback problem to optimal decentralized control problems.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
