{"title":"非线性电路宏模型的自动提取","authors":"J. Phillips","doi":"10.1109/CICC.2000.852706","DOIUrl":null,"url":null,"abstract":"Model reduction is a popular approach for incorporating detailed physical effects into high level simulations. In this paper the author presents a simple method for automatically extracting macromodels of nonlinear circuits with time-varying operating points. The models generated are truly \"reduced\" meaning that the complexity of macromodel evaluation is not strongly dependent on the size or complexity of the original detailed circuit description.","PeriodicalId":20702,"journal":{"name":"Proceedings of the IEEE 2000 Custom Integrated Circuits Conference (Cat. No.00CH37044)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2000-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"69","resultStr":"{\"title\":\"Automated extraction of nonlinear circuit macromodels\",\"authors\":\"J. Phillips\",\"doi\":\"10.1109/CICC.2000.852706\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Model reduction is a popular approach for incorporating detailed physical effects into high level simulations. In this paper the author presents a simple method for automatically extracting macromodels of nonlinear circuits with time-varying operating points. The models generated are truly \\\"reduced\\\" meaning that the complexity of macromodel evaluation is not strongly dependent on the size or complexity of the original detailed circuit description.\",\"PeriodicalId\":20702,\"journal\":{\"name\":\"Proceedings of the IEEE 2000 Custom Integrated Circuits Conference (Cat. No.00CH37044)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-05-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"69\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the IEEE 2000 Custom Integrated Circuits Conference (Cat. No.00CH37044)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CICC.2000.852706\",\"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 the IEEE 2000 Custom Integrated Circuits Conference (Cat. No.00CH37044)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CICC.2000.852706","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Automated extraction of nonlinear circuit macromodels
Model reduction is a popular approach for incorporating detailed physical effects into high level simulations. In this paper the author presents a simple method for automatically extracting macromodels of nonlinear circuits with time-varying operating points. The models generated are truly "reduced" meaning that the complexity of macromodel evaluation is not strongly dependent on the size or complexity of the original detailed circuit description.