{"title":"多输入多输出混合动力模型的状态估计","authors":"L. Rajaoarisoa, J. Balmat, N. M'Sirdi","doi":"10.1109/CDC.2011.6161065","DOIUrl":null,"url":null,"abstract":"It is well-known that the parameter estimation is difficult in many real-world application where continuous nonlinear dynamics interact with discrete-event ones. In this paper, we address the problem of state estimation in hybrid systems exhibited by a mix of continuous time dynamics, discrete-time and discrete-event dynamics. We also demonstrate that a set of parameters is identifiable if the operating modes are detectable and observable. An application will illustrate the results proposed.","PeriodicalId":360068,"journal":{"name":"IEEE Conference on Decision and Control and European Control Conference","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"State estimation for MIMO hybrid dynamical model\",\"authors\":\"L. Rajaoarisoa, J. Balmat, N. M'Sirdi\",\"doi\":\"10.1109/CDC.2011.6161065\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"It is well-known that the parameter estimation is difficult in many real-world application where continuous nonlinear dynamics interact with discrete-event ones. In this paper, we address the problem of state estimation in hybrid systems exhibited by a mix of continuous time dynamics, discrete-time and discrete-event dynamics. We also demonstrate that a set of parameters is identifiable if the operating modes are detectable and observable. An application will illustrate the results proposed.\",\"PeriodicalId\":360068,\"journal\":{\"name\":\"IEEE Conference on Decision and Control and European Control Conference\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Conference on Decision and Control and European Control Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CDC.2011.6161065\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Conference on Decision and Control and European Control Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CDC.2011.6161065","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
It is well-known that the parameter estimation is difficult in many real-world application where continuous nonlinear dynamics interact with discrete-event ones. In this paper, we address the problem of state estimation in hybrid systems exhibited by a mix of continuous time dynamics, discrete-time and discrete-event dynamics. We also demonstrate that a set of parameters is identifiable if the operating modes are detectable and observable. An application will illustrate the results proposed.
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