{"title":"线性时变系统的稳定性","authors":"B. Bakat","doi":"10.1109/ISSPA.1996.615724","DOIUrl":null,"url":null,"abstract":"Only few explicit solutions exist for time varying systems, namely: The A1 class, the Ah class and the commutative class, and transparent stability results for these three classes are obtained. In this paper, we present a practical criterion of stability which can be defined directly from the matrix A(t). This method is based on Gronwall’s theorem and shows that a linear time varying system can be stabilised by increasing the damping of the constant nominal of the matrix A(t).","PeriodicalId":359344,"journal":{"name":"Fourth International Symposium on Signal Processing and Its Applications","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":"{\"title\":\"Stability of Linear Time-Varying Systems\",\"authors\":\"B. Bakat\",\"doi\":\"10.1109/ISSPA.1996.615724\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Only few explicit solutions exist for time varying systems, namely: The A1 class, the Ah class and the commutative class, and transparent stability results for these three classes are obtained. In this paper, we present a practical criterion of stability which can be defined directly from the matrix A(t). This method is based on Gronwall’s theorem and shows that a linear time varying system can be stabilised by increasing the damping of the constant nominal of the matrix A(t).\",\"PeriodicalId\":359344,\"journal\":{\"name\":\"Fourth International Symposium on Signal Processing and Its Applications\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Fourth International Symposium on Signal Processing and Its Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISSPA.1996.615724\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fourth International Symposium on Signal Processing and Its Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSPA.1996.615724","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Only few explicit solutions exist for time varying systems, namely: The A1 class, the Ah class and the commutative class, and transparent stability results for these three classes are obtained. In this paper, we present a practical criterion of stability which can be defined directly from the matrix A(t). This method is based on Gronwall’s theorem and shows that a linear time varying system can be stabilised by increasing the damping of the constant nominal of the matrix A(t).