{"title":"参数空间鲁棒稳定性检验方法","authors":"B. Chang, X.P. Li, H. Yeh, S. Banda","doi":"10.1109/CDC.1989.70479","DOIUrl":null,"url":null,"abstract":"In the analysis and design of robust control systems, it is essential to check whether the closed-loop system is stable or not in a given perturbation area of the parameter space. Two methods for checking the robust stability in a perturbation domain of interest are considered. The first is the classical positivity checking approach based on the Routh-Hurwitz theorem and minima search, and the second is the polytopic polynomial approach with a dynamic perturbation domain dividing technique. Both approaches can be employed to compute the real-structured singular value or the real multivariable stability margin and to locate all unstable regions in a given perturbation domain.<<ETX>>","PeriodicalId":156565,"journal":{"name":"Proceedings of the 28th IEEE Conference on Decision and Control,","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1989-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Methods to check robust stability in the parameter space\",\"authors\":\"B. Chang, X.P. Li, H. Yeh, S. Banda\",\"doi\":\"10.1109/CDC.1989.70479\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the analysis and design of robust control systems, it is essential to check whether the closed-loop system is stable or not in a given perturbation area of the parameter space. Two methods for checking the robust stability in a perturbation domain of interest are considered. The first is the classical positivity checking approach based on the Routh-Hurwitz theorem and minima search, and the second is the polytopic polynomial approach with a dynamic perturbation domain dividing technique. Both approaches can be employed to compute the real-structured singular value or the real multivariable stability margin and to locate all unstable regions in a given perturbation domain.<<ETX>>\",\"PeriodicalId\":156565,\"journal\":{\"name\":\"Proceedings of the 28th IEEE Conference on Decision and Control,\",\"volume\":\"33 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1989-12-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 28th IEEE Conference on Decision and Control,\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CDC.1989.70479\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 28th IEEE Conference on Decision and Control,","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CDC.1989.70479","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Methods to check robust stability in the parameter space
In the analysis and design of robust control systems, it is essential to check whether the closed-loop system is stable or not in a given perturbation area of the parameter space. Two methods for checking the robust stability in a perturbation domain of interest are considered. The first is the classical positivity checking approach based on the Routh-Hurwitz theorem and minima search, and the second is the polytopic polynomial approach with a dynamic perturbation domain dividing technique. Both approaches can be employed to compute the real-structured singular value or the real multivariable stability margin and to locate all unstable regions in a given perturbation domain.<>