{"title":"基于方程的非线性模拟电路行为模型生成","authors":"C. Borchers, L. Hedrich, E. Barke","doi":"10.1145/240518.240562","DOIUrl":null,"url":null,"abstract":"A fully automatic method for generating behavioral models for nonlinear analog circuits is presented. This method is based on simplifications of the system of nonlinear differential equations which is derived from a transistor level netlist. Generated models include nonlinear dynamic behavior. They are composed of symbolic equations comprising circuit parameters. Accuracy and simulation speed-up are shown by several examples.","PeriodicalId":152966,"journal":{"name":"33rd Design Automation Conference Proceedings, 1996","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"21","resultStr":"{\"title\":\"Equation-based behavioral model generation for nonlinear analog circuits\",\"authors\":\"C. Borchers, L. Hedrich, E. Barke\",\"doi\":\"10.1145/240518.240562\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A fully automatic method for generating behavioral models for nonlinear analog circuits is presented. This method is based on simplifications of the system of nonlinear differential equations which is derived from a transistor level netlist. Generated models include nonlinear dynamic behavior. They are composed of symbolic equations comprising circuit parameters. Accuracy and simulation speed-up are shown by several examples.\",\"PeriodicalId\":152966,\"journal\":{\"name\":\"33rd Design Automation Conference Proceedings, 1996\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"21\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"33rd Design Automation Conference Proceedings, 1996\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/240518.240562\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"33rd Design Automation Conference Proceedings, 1996","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/240518.240562","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Equation-based behavioral model generation for nonlinear analog circuits
A fully automatic method for generating behavioral models for nonlinear analog circuits is presented. This method is based on simplifications of the system of nonlinear differential equations which is derived from a transistor level netlist. Generated models include nonlinear dynamic behavior. They are composed of symbolic equations comprising circuit parameters. Accuracy and simulation speed-up are shown by several examples.
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