{"title":"多维Stefan问题中的参数估计","authors":"K. Murphy","doi":"10.1109/CDC.1989.70189","DOIUrl":null,"url":null,"abstract":"A numerical algorithm for the estimation of unknown parameters in the multidimensional Stefan problem is described. The moving boundary is treated as an additional unknown parameter, rather than as a dynamic state of the system. A similar algorithm has been tested for the one-dimensional Stefan problem and appears to be robust under noisy observations. A convergence result is stated, and results for a simpler numerical example are presented.<<ETX>>","PeriodicalId":156565,"journal":{"name":"Proceedings of the 28th IEEE Conference on Decision and Control,","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1989-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Parameter estimation in the multidimensional Stefan problem\",\"authors\":\"K. Murphy\",\"doi\":\"10.1109/CDC.1989.70189\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A numerical algorithm for the estimation of unknown parameters in the multidimensional Stefan problem is described. The moving boundary is treated as an additional unknown parameter, rather than as a dynamic state of the system. A similar algorithm has been tested for the one-dimensional Stefan problem and appears to be robust under noisy observations. A convergence result is stated, and results for a simpler numerical example are presented.<<ETX>>\",\"PeriodicalId\":156565,\"journal\":{\"name\":\"Proceedings of the 28th IEEE Conference on Decision and Control,\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1989-12-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 28th IEEE Conference on Decision and Control,\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CDC.1989.70189\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 28th IEEE Conference on Decision and Control,","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CDC.1989.70189","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Parameter estimation in the multidimensional Stefan problem
A numerical algorithm for the estimation of unknown parameters in the multidimensional Stefan problem is described. The moving boundary is treated as an additional unknown parameter, rather than as a dynamic state of the system. A similar algorithm has been tested for the one-dimensional Stefan problem and appears to be robust under noisy observations. A convergence result is stated, and results for a simpler numerical example are presented.<>