{"title":"结合数值技术的随机电路时域分析","authors":"Tongyu Ding, Aonan Kou, Jian Shu, Shaoqing Zhang","doi":"10.1109/CSRSWTC56224.2022.10098401","DOIUrl":null,"url":null,"abstract":"This paper uses the so called Taylor models and Bernstein polynomials techniques to analyze random circuits affected by uncertain parameters and predict variation of the circuit responses in time domain. It leverages the Bernstein polynomials method to yield a conservative, yet tight, prediction of the circuit response bounds. The method is used and verified in the time-domain analysis of an exemplary linear circuit, which demonstrated its feasibility and strength.","PeriodicalId":198168,"journal":{"name":"2022 Cross Strait Radio Science & Wireless Technology Conference (CSRSWTC)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Time domain analysis of random circuits via combined numerical techniques\",\"authors\":\"Tongyu Ding, Aonan Kou, Jian Shu, Shaoqing Zhang\",\"doi\":\"10.1109/CSRSWTC56224.2022.10098401\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper uses the so called Taylor models and Bernstein polynomials techniques to analyze random circuits affected by uncertain parameters and predict variation of the circuit responses in time domain. It leverages the Bernstein polynomials method to yield a conservative, yet tight, prediction of the circuit response bounds. The method is used and verified in the time-domain analysis of an exemplary linear circuit, which demonstrated its feasibility and strength.\",\"PeriodicalId\":198168,\"journal\":{\"name\":\"2022 Cross Strait Radio Science & Wireless Technology Conference (CSRSWTC)\",\"volume\":\"73 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 Cross Strait Radio Science & Wireless Technology Conference (CSRSWTC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSRSWTC56224.2022.10098401\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 Cross Strait Radio Science & Wireless Technology Conference (CSRSWTC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSRSWTC56224.2022.10098401","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Time domain analysis of random circuits via combined numerical techniques
This paper uses the so called Taylor models and Bernstein polynomials techniques to analyze random circuits affected by uncertain parameters and predict variation of the circuit responses in time domain. It leverages the Bernstein polynomials method to yield a conservative, yet tight, prediction of the circuit response bounds. The method is used and verified in the time-domain analysis of an exemplary linear circuit, which demonstrated its feasibility and strength.