{"title":"一种计算动态系统灵敏度的时间展开方法","authors":"Frank Liu, P. Feldmann","doi":"10.1145/2593069.2593080","DOIUrl":null,"url":null,"abstract":"Sensitivities of the dynamic system responses with respect to the system parameters are highly valuable, with broad applications such as system tuning and uncertainty quantification. Compared to the direct methods, adjoint methods are much more efficient when the number of parameters is large. In this paper, we present a time-unrolling method to compute adjoint sensitivities. Instead of explicitly constructing the adjoint system, which quite often is nontrivial, our time-unrolling method implicitly retrace the response trajectory by utilizing the fitting polynomial of the integration methods. This paper provides theoretical foundation of the method as well as experimental demonstrations of its effectiveness.","PeriodicalId":433816,"journal":{"name":"2014 51st ACM/EDAC/IEEE Design Automation Conference (DAC)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"A time-unrolling method to compute sensitivity of dynamic systems\",\"authors\":\"Frank Liu, P. Feldmann\",\"doi\":\"10.1145/2593069.2593080\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Sensitivities of the dynamic system responses with respect to the system parameters are highly valuable, with broad applications such as system tuning and uncertainty quantification. Compared to the direct methods, adjoint methods are much more efficient when the number of parameters is large. In this paper, we present a time-unrolling method to compute adjoint sensitivities. Instead of explicitly constructing the adjoint system, which quite often is nontrivial, our time-unrolling method implicitly retrace the response trajectory by utilizing the fitting polynomial of the integration methods. This paper provides theoretical foundation of the method as well as experimental demonstrations of its effectiveness.\",\"PeriodicalId\":433816,\"journal\":{\"name\":\"2014 51st ACM/EDAC/IEEE Design Automation Conference (DAC)\",\"volume\":\"79 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 51st ACM/EDAC/IEEE Design Automation Conference (DAC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2593069.2593080\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 51st ACM/EDAC/IEEE Design Automation Conference (DAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2593069.2593080","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A time-unrolling method to compute sensitivity of dynamic systems
Sensitivities of the dynamic system responses with respect to the system parameters are highly valuable, with broad applications such as system tuning and uncertainty quantification. Compared to the direct methods, adjoint methods are much more efficient when the number of parameters is large. In this paper, we present a time-unrolling method to compute adjoint sensitivities. Instead of explicitly constructing the adjoint system, which quite often is nontrivial, our time-unrolling method implicitly retrace the response trajectory by utilizing the fitting polynomial of the integration methods. This paper provides theoretical foundation of the method as well as experimental demonstrations of its effectiveness.