{"title":"Macro-modeling of non-linear I/O drivers using spline functions and finite time difference approximation","authors":"B. Mutnury, M. Swaminathan, J. Libous","doi":"10.1109/EPEP.2003.1250048","DOIUrl":null,"url":null,"abstract":"In this paper a modeling methodology using spline functions with finite time difference is proposed for modeling digital I/O drivers. Digital driver circuits can be accurately modeled using their static characteristics for normal excitations, but for faster excitations static characteristic models tend to lose their accuracy as the dynamic characteristics start to dominate the static characteristics. Spline function with finite time difference modeling includes previous time instances to capture dynamic characteristics for accurate modeling of digital drivers. In this paper the speed and accuracy of the proposed method is analyzed and compared with Radial Basis Function (RBF) modeling for different test cases.","PeriodicalId":254477,"journal":{"name":"Electrical Performance of Electrical Packaging (IEEE Cat. No. 03TH8710)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"26","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Electrical Performance of Electrical Packaging (IEEE Cat. No. 03TH8710)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EPEP.2003.1250048","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 26
Abstract
In this paper a modeling methodology using spline functions with finite time difference is proposed for modeling digital I/O drivers. Digital driver circuits can be accurately modeled using their static characteristics for normal excitations, but for faster excitations static characteristic models tend to lose their accuracy as the dynamic characteristics start to dominate the static characteristics. Spline function with finite time difference modeling includes previous time instances to capture dynamic characteristics for accurate modeling of digital drivers. In this paper the speed and accuracy of the proposed method is analyzed and compared with Radial Basis Function (RBF) modeling for different test cases.