{"title":"用递归卷积建立时变系统的模型","authors":"C. Wong","doi":"10.1109/IECON.1993.339390","DOIUrl":null,"url":null,"abstract":"This paper describes a method to determine the dynamic behavior of a multiple input, linear, time-invariant or time-varying system. The method is based on the \"recursive convolution\" with the forcing terms modeled by nth order polynomials of time. Exact solutions are obtained if the system is linear, time-invariant and the forcing terms are polynomials of time. Several examples, including a typical step-up switching power supply, are described.<<ETX>>","PeriodicalId":132101,"journal":{"name":"Proceedings of IECON '93 - 19th Annual Conference of IEEE Industrial Electronics","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Modeling of a time-varying system using recursive convolution\",\"authors\":\"C. Wong\",\"doi\":\"10.1109/IECON.1993.339390\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes a method to determine the dynamic behavior of a multiple input, linear, time-invariant or time-varying system. The method is based on the \\\"recursive convolution\\\" with the forcing terms modeled by nth order polynomials of time. Exact solutions are obtained if the system is linear, time-invariant and the forcing terms are polynomials of time. Several examples, including a typical step-up switching power supply, are described.<<ETX>>\",\"PeriodicalId\":132101,\"journal\":{\"name\":\"Proceedings of IECON '93 - 19th Annual Conference of IEEE Industrial Electronics\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1993-11-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of IECON '93 - 19th Annual Conference of IEEE Industrial Electronics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IECON.1993.339390\",\"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 IECON '93 - 19th Annual Conference of IEEE Industrial Electronics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IECON.1993.339390","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Modeling of a time-varying system using recursive convolution
This paper describes a method to determine the dynamic behavior of a multiple input, linear, time-invariant or time-varying system. The method is based on the "recursive convolution" with the forcing terms modeled by nth order polynomials of time. Exact solutions are obtained if the system is linear, time-invariant and the forcing terms are polynomials of time. Several examples, including a typical step-up switching power supply, are described.<>