{"title":"基于隐马尔可夫模型的开关可重构控制","authors":"J. M. Lemos, L. Rato, J. Marques","doi":"10.23919/ECC.1999.7099375","DOIUrl":null,"url":null,"abstract":"A supervisor algorithm for application in switching reconfigurable control of time varying plants is presented. The possible outcomes of the parameters configuring plant dynamics are described by a hidden Markov model whose state, assumed unavailable for direct observation, is estimated from plant i/o data using a nonlinear filtering algorithm. The use of a shared state representation allows a natural fitting of this supervisor to Predictive Reconfigurable Control.","PeriodicalId":117668,"journal":{"name":"1999 European Control Conference (ECC)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"Switching reconfigurable control based on hidden Markov models\",\"authors\":\"J. M. Lemos, L. Rato, J. Marques\",\"doi\":\"10.23919/ECC.1999.7099375\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A supervisor algorithm for application in switching reconfigurable control of time varying plants is presented. The possible outcomes of the parameters configuring plant dynamics are described by a hidden Markov model whose state, assumed unavailable for direct observation, is estimated from plant i/o data using a nonlinear filtering algorithm. The use of a shared state representation allows a natural fitting of this supervisor to Predictive Reconfigurable Control.\",\"PeriodicalId\":117668,\"journal\":{\"name\":\"1999 European Control Conference (ECC)\",\"volume\":\"50 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1999-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1999 European Control Conference (ECC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/ECC.1999.7099375\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1999 European Control Conference (ECC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/ECC.1999.7099375","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Switching reconfigurable control based on hidden Markov models
A supervisor algorithm for application in switching reconfigurable control of time varying plants is presented. The possible outcomes of the parameters configuring plant dynamics are described by a hidden Markov model whose state, assumed unavailable for direct observation, is estimated from plant i/o data using a nonlinear filtering algorithm. The use of a shared state representation allows a natural fitting of this supervisor to Predictive Reconfigurable Control.