{"title":"通过输入-输出测量优化系统模型","authors":"A. Mehta, H. Kaufman, R. Ravi, K. Minto","doi":"10.1109/ACC.1995.520907","DOIUrl":null,"url":null,"abstract":"A systematic procedure has been developed for optimizing the parameters in a model of a physical system so that the input-output behavior of the model matches that of the system. The first step in this process is a ranking of these parameters with respect to their influence on the outputs of interest. Subsequently, nonlinear optimization methods are used to modify the parameters. A simple example illustrates the procedure.","PeriodicalId":317569,"journal":{"name":"Proceedings of 1995 American Control Conference - ACC'95","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"System model optimization via input-output measurements\",\"authors\":\"A. Mehta, H. Kaufman, R. Ravi, K. Minto\",\"doi\":\"10.1109/ACC.1995.520907\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A systematic procedure has been developed for optimizing the parameters in a model of a physical system so that the input-output behavior of the model matches that of the system. The first step in this process is a ranking of these parameters with respect to their influence on the outputs of interest. Subsequently, nonlinear optimization methods are used to modify the parameters. A simple example illustrates the procedure.\",\"PeriodicalId\":317569,\"journal\":{\"name\":\"Proceedings of 1995 American Control Conference - ACC'95\",\"volume\":\"49 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-06-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 1995 American Control Conference - ACC'95\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ACC.1995.520907\",\"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 1995 American Control Conference - ACC'95","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACC.1995.520907","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
System model optimization via input-output measurements
A systematic procedure has been developed for optimizing the parameters in a model of a physical system so that the input-output behavior of the model matches that of the system. The first step in this process is a ranking of these parameters with respect to their influence on the outputs of interest. Subsequently, nonlinear optimization methods are used to modify the parameters. A simple example illustrates the procedure.
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