{"title":"ACC基准跟踪问题的QFT解决方案","authors":"J. Elso, Irene Miquelez, X. Ostolaza","doi":"10.1109/ICOSC.2018.8587840","DOIUrl":null,"url":null,"abstract":"In this work, the Quantitative Feedback Theory (QFT) method is used to find a control solution for the well-known ACC benchmark problem. Unlike previous contributions, this one addresses the tracking problem. The solution is based on a two-degree-of-freedom control scheme. To cope with the demanding requirements of the problem, an innovative use of Bessel filters as tolerances is presented, replacing the usual second order models.","PeriodicalId":153985,"journal":{"name":"2018 7th International Conference on Systems and Control (ICSC)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A QFT solution to the ACC benchmark tracking problem\",\"authors\":\"J. Elso, Irene Miquelez, X. Ostolaza\",\"doi\":\"10.1109/ICOSC.2018.8587840\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this work, the Quantitative Feedback Theory (QFT) method is used to find a control solution for the well-known ACC benchmark problem. Unlike previous contributions, this one addresses the tracking problem. The solution is based on a two-degree-of-freedom control scheme. To cope with the demanding requirements of the problem, an innovative use of Bessel filters as tolerances is presented, replacing the usual second order models.\",\"PeriodicalId\":153985,\"journal\":{\"name\":\"2018 7th International Conference on Systems and Control (ICSC)\",\"volume\":\"106 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 7th International Conference on Systems and Control (ICSC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICOSC.2018.8587840\",\"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 7th International Conference on Systems and Control (ICSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOSC.2018.8587840","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A QFT solution to the ACC benchmark tracking problem
In this work, the Quantitative Feedback Theory (QFT) method is used to find a control solution for the well-known ACC benchmark problem. Unlike previous contributions, this one addresses the tracking problem. The solution is based on a two-degree-of-freedom control scheme. To cope with the demanding requirements of the problem, an innovative use of Bessel filters as tolerances is presented, replacing the usual second order models.
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