{"title":"用参数变输入-输出模型推广周期性时变测量","authors":"Jan Goos, E. Louarroudi, R. Pintelon","doi":"10.1109/I2MTC.2015.7151339","DOIUrl":null,"url":null,"abstract":"In many real-life systems, the dynamic behavior varies periodically in time, as a function of an external scheduling parameter. Although it is possible to capture these changing dynamics with a periodically time-varying model, no prediction can be made for a new trajectory of the time variation. In this paper, we extract a more general (non-parametric) parameter-varying model, from a set of periodically time-varying measurements on a parameter-varying bandpass filter.","PeriodicalId":424006,"journal":{"name":"2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Generalizing periodically time-varying measurements with a parameter-varying input-output model\",\"authors\":\"Jan Goos, E. Louarroudi, R. Pintelon\",\"doi\":\"10.1109/I2MTC.2015.7151339\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In many real-life systems, the dynamic behavior varies periodically in time, as a function of an external scheduling parameter. Although it is possible to capture these changing dynamics with a periodically time-varying model, no prediction can be made for a new trajectory of the time variation. In this paper, we extract a more general (non-parametric) parameter-varying model, from a set of periodically time-varying measurements on a parameter-varying bandpass filter.\",\"PeriodicalId\":424006,\"journal\":{\"name\":\"2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-07-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/I2MTC.2015.7151339\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/I2MTC.2015.7151339","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Generalizing periodically time-varying measurements with a parameter-varying input-output model
In many real-life systems, the dynamic behavior varies periodically in time, as a function of an external scheduling parameter. Although it is possible to capture these changing dynamics with a periodically time-varying model, no prediction can be made for a new trajectory of the time variation. In this paper, we extract a more general (non-parametric) parameter-varying model, from a set of periodically time-varying measurements on a parameter-varying bandpass filter.