{"title":"二维Fornasini-Marchesini模型的卡尔曼滤波","authors":"Ran Yang, L. Ntogramatzidis, M. Cantoni","doi":"10.1109/NDS.2009.5195928","DOIUrl":null,"url":null,"abstract":"This paper deals with the problem of signal estimation for two-dimensional systems. More specifically, we propose a Kalman filter for 2-D systems in Fornasini-Marchesini model, without pre-imposing its structure. It will be shown that the filter thus obtained is not in a Fornasini-Marchesini form, but it still has a recursive structure.","PeriodicalId":299363,"journal":{"name":"2009 International Workshop on Multidimensional (nD) Systems","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"On Kalman filtering for 2-D Fornasini-Marchesini models\",\"authors\":\"Ran Yang, L. Ntogramatzidis, M. Cantoni\",\"doi\":\"10.1109/NDS.2009.5195928\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper deals with the problem of signal estimation for two-dimensional systems. More specifically, we propose a Kalman filter for 2-D systems in Fornasini-Marchesini model, without pre-imposing its structure. It will be shown that the filter thus obtained is not in a Fornasini-Marchesini form, but it still has a recursive structure.\",\"PeriodicalId\":299363,\"journal\":{\"name\":\"2009 International Workshop on Multidimensional (nD) Systems\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-08-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Workshop on Multidimensional (nD) Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NDS.2009.5195928\",\"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 International Workshop on Multidimensional (nD) Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NDS.2009.5195928","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
On Kalman filtering for 2-D Fornasini-Marchesini models
This paper deals with the problem of signal estimation for two-dimensional systems. More specifically, we propose a Kalman filter for 2-D systems in Fornasini-Marchesini model, without pre-imposing its structure. It will be shown that the filter thus obtained is not in a Fornasini-Marchesini form, but it still has a recursive structure.