{"title":"用lmi估计多项式系统的吸引域","authors":"B. Tibken","doi":"10.1109/CDC.2000.912314","DOIUrl":null,"url":null,"abstract":"Investigation of the stability properties of stationary points of nonlinear systems lies at the heart of modern control engineering. In this contribution we show how modern results of real algebraic geometry, a branch of pure mathematics, is used to compute subsets of the region of attraction of asymptotically stable stationary points of polynomial systems. This computation is done in a numerically stable and efficient way by reformulating the problem as a linear matrix inequality (LMI). For this reformulation results from real algebraic geometry are used. The results presented show very clearly that a multidisciplinary approach to nonlinear control systems leads to new insight and new powerful conditions. Some conclusions and an outlook finish the contribution.","PeriodicalId":217237,"journal":{"name":"Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"105","resultStr":"{\"title\":\"Estimation of the domain of attraction for polynomial systems via LMIs\",\"authors\":\"B. Tibken\",\"doi\":\"10.1109/CDC.2000.912314\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Investigation of the stability properties of stationary points of nonlinear systems lies at the heart of modern control engineering. In this contribution we show how modern results of real algebraic geometry, a branch of pure mathematics, is used to compute subsets of the region of attraction of asymptotically stable stationary points of polynomial systems. This computation is done in a numerically stable and efficient way by reformulating the problem as a linear matrix inequality (LMI). For this reformulation results from real algebraic geometry are used. The results presented show very clearly that a multidisciplinary approach to nonlinear control systems leads to new insight and new powerful conditions. Some conclusions and an outlook finish the contribution.\",\"PeriodicalId\":217237,\"journal\":{\"name\":\"Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187)\",\"volume\":\"78 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-12-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"105\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CDC.2000.912314\",\"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 39th IEEE Conference on Decision and Control (Cat. No.00CH37187)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CDC.2000.912314","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Estimation of the domain of attraction for polynomial systems via LMIs
Investigation of the stability properties of stationary points of nonlinear systems lies at the heart of modern control engineering. In this contribution we show how modern results of real algebraic geometry, a branch of pure mathematics, is used to compute subsets of the region of attraction of asymptotically stable stationary points of polynomial systems. This computation is done in a numerically stable and efficient way by reformulating the problem as a linear matrix inequality (LMI). For this reformulation results from real algebraic geometry are used. The results presented show very clearly that a multidisciplinary approach to nonlinear control systems leads to new insight and new powerful conditions. Some conclusions and an outlook finish the contribution.