{"title":"多面体不确定性系统鲁棒SPR的多项式滤波器计算注记","authors":"G. Bianchini","doi":"10.1109/CDC.2003.1272425","DOIUrl":null,"url":null,"abstract":"This paper addresses the robust strict positive realness (RSPR) problem when the uncertain polynomial family is defined by an l/sub /spl infin// ball in coefficient space. A new characterization of the filters solving such problem is proposed. This characterization is exploited numerically to devise polynomial filters with guaranteed l/sub /spl infin// robustness margin.","PeriodicalId":371853,"journal":{"name":"42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A note on computing polynomial filters for robust SPR of systems with polyhedral uncertainty\",\"authors\":\"G. Bianchini\",\"doi\":\"10.1109/CDC.2003.1272425\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper addresses the robust strict positive realness (RSPR) problem when the uncertain polynomial family is defined by an l/sub /spl infin// ball in coefficient space. A new characterization of the filters solving such problem is proposed. This characterization is exploited numerically to devise polynomial filters with guaranteed l/sub /spl infin// robustness margin.\",\"PeriodicalId\":371853,\"journal\":{\"name\":\"42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-12-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CDC.2003.1272425\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CDC.2003.1272425","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A note on computing polynomial filters for robust SPR of systems with polyhedral uncertainty
This paper addresses the robust strict positive realness (RSPR) problem when the uncertain polynomial family is defined by an l/sub /spl infin// ball in coefficient space. A new characterization of the filters solving such problem is proposed. This characterization is exploited numerically to devise polynomial filters with guaranteed l/sub /spl infin// robustness margin.