{"title":"未知扰动随机奇异系统的分布式融合滤波","authors":"Dongmei Qu, Jing Ma, Shuli Sun","doi":"10.1109/WCICA.2010.5555033","DOIUrl":null,"url":null,"abstract":"Based on the decomposition in canonical form, an optimal state filter in the linear unbiased minimum variance sense is given for single-sensor stochastic singular systems with unknown disturbance and correlated noises in the case of Y-observable system, which is independent of the unknown disturbance. When the system is measured by multiple sensors, the computation formula for the filtering error cross-covariance matrix between any two sensor subsystems is derived. Further, the distributed information fusion state filter is given based on the fusion algorithm weighted by matrix in the linear minimum variance sense. The simulation research shows the effectiveness.","PeriodicalId":315420,"journal":{"name":"2010 8th World Congress on Intelligent Control and Automation","volume":"485 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Distributed fusion filter for stochastic singular systems with unknown disturbance\",\"authors\":\"Dongmei Qu, Jing Ma, Shuli Sun\",\"doi\":\"10.1109/WCICA.2010.5555033\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Based on the decomposition in canonical form, an optimal state filter in the linear unbiased minimum variance sense is given for single-sensor stochastic singular systems with unknown disturbance and correlated noises in the case of Y-observable system, which is independent of the unknown disturbance. When the system is measured by multiple sensors, the computation formula for the filtering error cross-covariance matrix between any two sensor subsystems is derived. Further, the distributed information fusion state filter is given based on the fusion algorithm weighted by matrix in the linear minimum variance sense. The simulation research shows the effectiveness.\",\"PeriodicalId\":315420,\"journal\":{\"name\":\"2010 8th World Congress on Intelligent Control and Automation\",\"volume\":\"485 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-07-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 8th World Congress on Intelligent Control and Automation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WCICA.2010.5555033\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 8th World Congress on Intelligent Control and Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WCICA.2010.5555033","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Distributed fusion filter for stochastic singular systems with unknown disturbance
Based on the decomposition in canonical form, an optimal state filter in the linear unbiased minimum variance sense is given for single-sensor stochastic singular systems with unknown disturbance and correlated noises in the case of Y-observable system, which is independent of the unknown disturbance. When the system is measured by multiple sensors, the computation formula for the filtering error cross-covariance matrix between any two sensor subsystems is derived. Further, the distributed information fusion state filter is given based on the fusion algorithm weighted by matrix in the linear minimum variance sense. The simulation research shows the effectiveness.