{"title":"对偶迭代h2 -圆锥控制器综合","authors":"Liangting Wu, L. Bridgeman","doi":"10.23919/acc45564.2020.9147649","DOIUrl":null,"url":null,"abstract":"The Conic Sector Theorem can be employed for controller synthesis to ensure input-output stability. This work develops a method to synthesize conic, observer-based controllers by minimizing an upper-bound on the closed-loop ${\\mathcal{H}_2}$-norm. The proposed method can be seen as the dual of an existing optimal synthesis method, but with an alternative initialization to expand the set of plants for which it is feasible. This results in better performance in some examples and therefore provides a useful alternative tool for robust and optimal control.","PeriodicalId":288450,"journal":{"name":"2020 American Control Conference (ACC)","volume":"277 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Dual, Iterative H2-Conic Controller Synthesis\",\"authors\":\"Liangting Wu, L. Bridgeman\",\"doi\":\"10.23919/acc45564.2020.9147649\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Conic Sector Theorem can be employed for controller synthesis to ensure input-output stability. This work develops a method to synthesize conic, observer-based controllers by minimizing an upper-bound on the closed-loop ${\\\\mathcal{H}_2}$-norm. The proposed method can be seen as the dual of an existing optimal synthesis method, but with an alternative initialization to expand the set of plants for which it is feasible. This results in better performance in some examples and therefore provides a useful alternative tool for robust and optimal control.\",\"PeriodicalId\":288450,\"journal\":{\"name\":\"2020 American Control Conference (ACC)\",\"volume\":\"277 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 American Control Conference (ACC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/acc45564.2020.9147649\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 American Control Conference (ACC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/acc45564.2020.9147649","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Conic Sector Theorem can be employed for controller synthesis to ensure input-output stability. This work develops a method to synthesize conic, observer-based controllers by minimizing an upper-bound on the closed-loop ${\mathcal{H}_2}$-norm. The proposed method can be seen as the dual of an existing optimal synthesis method, but with an alternative initialization to expand the set of plants for which it is feasible. This results in better performance in some examples and therefore provides a useful alternative tool for robust and optimal control.