{"title":"随机滑模辨识","authors":"A. Poznyak, J. Escobar, Y. Shtessel","doi":"10.1109/VSS.2006.1644522","DOIUrl":null,"url":null,"abstract":"Time varying parameters identification of stochastic systems is addressed via sliding mode parameter observers. Sliding mode observer is governed by control that compensates a so-called Ito's term, which reflects a stochastic nature of a system. The matrix estimation algorithm based on equivalent control are proposed. A numerical example illustrates the effectiveness of the proposed approach","PeriodicalId":146618,"journal":{"name":"International Workshop on Variable Structure Systems, 2006. VSS'06.","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Stochastic Sliding Modes Identification\",\"authors\":\"A. Poznyak, J. Escobar, Y. Shtessel\",\"doi\":\"10.1109/VSS.2006.1644522\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Time varying parameters identification of stochastic systems is addressed via sliding mode parameter observers. Sliding mode observer is governed by control that compensates a so-called Ito's term, which reflects a stochastic nature of a system. The matrix estimation algorithm based on equivalent control are proposed. A numerical example illustrates the effectiveness of the proposed approach\",\"PeriodicalId\":146618,\"journal\":{\"name\":\"International Workshop on Variable Structure Systems, 2006. VSS'06.\",\"volume\":\"38 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-06-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Workshop on Variable Structure Systems, 2006. VSS'06.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/VSS.2006.1644522\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Workshop on Variable Structure Systems, 2006. VSS'06.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VSS.2006.1644522","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Time varying parameters identification of stochastic systems is addressed via sliding mode parameter observers. Sliding mode observer is governed by control that compensates a so-called Ito's term, which reflects a stochastic nature of a system. The matrix estimation algorithm based on equivalent control are proposed. A numerical example illustrates the effectiveness of the proposed approach