{"title":"LPV-IO控制器设计:LMI方法","authors":"Simon Wollnack, H. Werner","doi":"10.1109/ACC.2016.7526080","DOIUrl":null,"url":null,"abstract":"Stability and ℒ2-performance of linear parameter-varying (LPV) systems in input-output (IO) form are considered. Based on our previous results, novel linear matrix inequality conditions are presented that allow to compute a stabilizing full-order LPV-IO controller which satisfies ℒ2-performance constraints by means of a convex program. The problem of dynamic parameter dependence that usually hinders the derivation of practical stability and performance conditions is avoided completely. An illustrative example demonstrates the merits of the proposed LMI conditions when applied to LPV-IO controller synthesis.","PeriodicalId":137983,"journal":{"name":"2016 American Control Conference (ACC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"LPV-IO controller design: An LMI approach\",\"authors\":\"Simon Wollnack, H. Werner\",\"doi\":\"10.1109/ACC.2016.7526080\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Stability and ℒ2-performance of linear parameter-varying (LPV) systems in input-output (IO) form are considered. Based on our previous results, novel linear matrix inequality conditions are presented that allow to compute a stabilizing full-order LPV-IO controller which satisfies ℒ2-performance constraints by means of a convex program. The problem of dynamic parameter dependence that usually hinders the derivation of practical stability and performance conditions is avoided completely. An illustrative example demonstrates the merits of the proposed LMI conditions when applied to LPV-IO controller synthesis.\",\"PeriodicalId\":137983,\"journal\":{\"name\":\"2016 American Control Conference (ACC)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-07-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 American Control Conference (ACC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ACC.2016.7526080\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 American Control Conference (ACC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACC.2016.7526080","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Stability and ℒ2-performance of linear parameter-varying (LPV) systems in input-output (IO) form are considered. Based on our previous results, novel linear matrix inequality conditions are presented that allow to compute a stabilizing full-order LPV-IO controller which satisfies ℒ2-performance constraints by means of a convex program. The problem of dynamic parameter dependence that usually hinders the derivation of practical stability and performance conditions is avoided completely. An illustrative example demonstrates the merits of the proposed LMI conditions when applied to LPV-IO controller synthesis.