{"title":"有限元解空间导数法提高电磁场特性表示精度的方法","authors":"M. Korsun, M. Royak","doi":"10.1109/APEIE.2006.4292403","DOIUrl":null,"url":null,"abstract":"The problem of estimating parameters of stochastic dynamic nonlinear system by gradient method is considered. The gradient method is applied to the criterion of normalized one-step-ahead error minimum which is calculated by extended linearized Kalman filter. The gradient calculation algorithm for this target function is obtained. Performance of the method is shown on an example of three univariate linear dynamic systems mixture.","PeriodicalId":425905,"journal":{"name":"2006 8th International Conference on Actual Problems of Electronic Instrument Engineering","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Methods of Accuracy Increase of Presentaton of the Electromagnetic Fields Characteristics Being Spatial Derivative of the Finite Element Solution\",\"authors\":\"M. Korsun, M. Royak\",\"doi\":\"10.1109/APEIE.2006.4292403\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The problem of estimating parameters of stochastic dynamic nonlinear system by gradient method is considered. The gradient method is applied to the criterion of normalized one-step-ahead error minimum which is calculated by extended linearized Kalman filter. The gradient calculation algorithm for this target function is obtained. Performance of the method is shown on an example of three univariate linear dynamic systems mixture.\",\"PeriodicalId\":425905,\"journal\":{\"name\":\"2006 8th International Conference on Actual Problems of Electronic Instrument Engineering\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-08-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 8th International Conference on Actual Problems of Electronic Instrument Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/APEIE.2006.4292403\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 8th International Conference on Actual Problems of Electronic Instrument Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APEIE.2006.4292403","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Methods of Accuracy Increase of Presentaton of the Electromagnetic Fields Characteristics Being Spatial Derivative of the Finite Element Solution
The problem of estimating parameters of stochastic dynamic nonlinear system by gradient method is considered. The gradient method is applied to the criterion of normalized one-step-ahead error minimum which is calculated by extended linearized Kalman filter. The gradient calculation algorithm for this target function is obtained. Performance of the method is shown on an example of three univariate linear dynamic systems mixture.