V. A. Tupysev, O. Stepanov, A. Loparev, Y. Litvinenko
{"title":"导航信息处理中的保证估计问题","authors":"V. A. Tupysev, O. Stepanov, A. Loparev, Y. Litvinenko","doi":"10.1109/CCA.2009.5281081","DOIUrl":null,"url":null,"abstract":"A new approach for guaranteed state estimation of a linear system under parameter uncertainties in correlated disturbances and measurement errors is suggested. Conditions for adjustment of a Kalman-type filter with guaranteed estimation are derived for the case that the correlated disturbances and measurement errors are first-order Markov processes. The efficiency of the suggested method is illustrated by a navigation problem solved for aiding the inertial navigation system.","PeriodicalId":294950,"journal":{"name":"2009 IEEE Control Applications, (CCA) & Intelligent Control, (ISIC)","volume":"129 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":"{\"title\":\"Guaranteed estimation in the problems of navigation information processing\",\"authors\":\"V. A. Tupysev, O. Stepanov, A. Loparev, Y. Litvinenko\",\"doi\":\"10.1109/CCA.2009.5281081\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A new approach for guaranteed state estimation of a linear system under parameter uncertainties in correlated disturbances and measurement errors is suggested. Conditions for adjustment of a Kalman-type filter with guaranteed estimation are derived for the case that the correlated disturbances and measurement errors are first-order Markov processes. The efficiency of the suggested method is illustrated by a navigation problem solved for aiding the inertial navigation system.\",\"PeriodicalId\":294950,\"journal\":{\"name\":\"2009 IEEE Control Applications, (CCA) & Intelligent Control, (ISIC)\",\"volume\":\"129 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-07-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"18\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 IEEE Control Applications, (CCA) & Intelligent Control, (ISIC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCA.2009.5281081\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IEEE Control Applications, (CCA) & Intelligent Control, (ISIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCA.2009.5281081","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Guaranteed estimation in the problems of navigation information processing
A new approach for guaranteed state estimation of a linear system under parameter uncertainties in correlated disturbances and measurement errors is suggested. Conditions for adjustment of a Kalman-type filter with guaranteed estimation are derived for the case that the correlated disturbances and measurement errors are first-order Markov processes. The efficiency of the suggested method is illustrated by a navigation problem solved for aiding the inertial navigation system.