{"title":"A distributed filter derivation without Riccati equations","authors":"Jon H. Davis","doi":"10.1137/0316039","DOIUrl":null,"url":null,"abstract":"This paper considers \"frequency domain\" methods for the derivation of Kalman-Bucy filters for a certain class of distributed systems. An integral representation for the optimal stationary filter gains is derived using Wiener-Hopf techniques, avoiding consideration of distributed Riccati equations.","PeriodicalId":375119,"journal":{"name":"1978 IEEE Conference on Decision and Control including the 17th Symposium on Adaptive Processes","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1978-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"1978 IEEE Conference on Decision and Control including the 17th Symposium on Adaptive Processes","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1137/0316039","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
This paper considers "frequency domain" methods for the derivation of Kalman-Bucy filters for a certain class of distributed systems. An integral representation for the optimal stationary filter gains is derived using Wiener-Hopf techniques, avoiding consideration of distributed Riccati equations.