{"title":"有源电路时域灵敏度分析的降阶模型","authors":"B. Nouri, M. Nakhla","doi":"10.1109/SAPIW.2018.8401675","DOIUrl":null,"url":null,"abstract":"Conventional sensitivity analysis based on model-order reduction techniques guarantee the passivity and, consequently, the stability of the reduced sensitivity circuit provided that the original circuit is passive. This excludes a large class of circuits that are stable but not necessarily passive. In this paper, an efficient model-order reduction method is presented for computing sensitivity information of active stable circuits with respect to arbitrary parameters. The proposed algorithm guarantees the asymptotic stability of the reduced sensitivity model by construction.","PeriodicalId":423850,"journal":{"name":"2018 IEEE 22nd Workshop on Signal and Power Integrity (SPI)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Reduced-order model for time-domain sensitivity analysis of active circuits\",\"authors\":\"B. Nouri, M. Nakhla\",\"doi\":\"10.1109/SAPIW.2018.8401675\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Conventional sensitivity analysis based on model-order reduction techniques guarantee the passivity and, consequently, the stability of the reduced sensitivity circuit provided that the original circuit is passive. This excludes a large class of circuits that are stable but not necessarily passive. In this paper, an efficient model-order reduction method is presented for computing sensitivity information of active stable circuits with respect to arbitrary parameters. The proposed algorithm guarantees the asymptotic stability of the reduced sensitivity model by construction.\",\"PeriodicalId\":423850,\"journal\":{\"name\":\"2018 IEEE 22nd Workshop on Signal and Power Integrity (SPI)\",\"volume\":\"70 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE 22nd Workshop on Signal and Power Integrity (SPI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SAPIW.2018.8401675\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE 22nd Workshop on Signal and Power Integrity (SPI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SAPIW.2018.8401675","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Reduced-order model for time-domain sensitivity analysis of active circuits
Conventional sensitivity analysis based on model-order reduction techniques guarantee the passivity and, consequently, the stability of the reduced sensitivity circuit provided that the original circuit is passive. This excludes a large class of circuits that are stable but not necessarily passive. In this paper, an efficient model-order reduction method is presented for computing sensitivity information of active stable circuits with respect to arbitrary parameters. The proposed algorithm guarantees the asymptotic stability of the reduced sensitivity model by construction.