{"title":"基于鲁棒估计框架的大规模空间互联系统分散状态估计","authors":"Huabo Liu, Haisheng Yu","doi":"10.1109/CCDC.2017.7978157","DOIUrl":null,"url":null,"abstract":"A decentralized state estimator based on a robust estimation framework is derived for a spatially interconnected system constituting by many arbitrarily interconnected subsystems. It combines the robust estimation framework in [21] and the decentralized estimation design in [22] whose computation efficiently utilizes the block-diagonal characteristic of system parameter matrices and the sparseness of subsystem connection matrix. Numerical simulations show that the derived decentralized state estimator has nice estimation performance.","PeriodicalId":6588,"journal":{"name":"2017 29th Chinese Control And Decision Conference (CCDC)","volume":"58 1","pages":"5561-5566"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Decentralized state estimation for large-scale spatially interconnected systems using a robust estimation framework\",\"authors\":\"Huabo Liu, Haisheng Yu\",\"doi\":\"10.1109/CCDC.2017.7978157\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A decentralized state estimator based on a robust estimation framework is derived for a spatially interconnected system constituting by many arbitrarily interconnected subsystems. It combines the robust estimation framework in [21] and the decentralized estimation design in [22] whose computation efficiently utilizes the block-diagonal characteristic of system parameter matrices and the sparseness of subsystem connection matrix. Numerical simulations show that the derived decentralized state estimator has nice estimation performance.\",\"PeriodicalId\":6588,\"journal\":{\"name\":\"2017 29th Chinese Control And Decision Conference (CCDC)\",\"volume\":\"58 1\",\"pages\":\"5561-5566\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 29th Chinese Control And Decision Conference (CCDC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCDC.2017.7978157\",\"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 29th Chinese Control And Decision Conference (CCDC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCDC.2017.7978157","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Decentralized state estimation for large-scale spatially interconnected systems using a robust estimation framework
A decentralized state estimator based on a robust estimation framework is derived for a spatially interconnected system constituting by many arbitrarily interconnected subsystems. It combines the robust estimation framework in [21] and the decentralized estimation design in [22] whose computation efficiently utilizes the block-diagonal characteristic of system parameter matrices and the sparseness of subsystem connection matrix. Numerical simulations show that the derived decentralized state estimator has nice estimation performance.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
