{"title":"基于参数输出反馈的鲁棒特征结构赋值","authors":"Jan Strubel, U. Konigorski","doi":"10.1109/MED.2014.6961547","DOIUrl":null,"url":null,"abstract":"This paper investigates a new approach for the design of robust output feedback controllers with respect to minimizing the condition number of the closed-loop eigenvector matrix. Relying on a recently proposed procedure for parametric eigenstructure assignment, we exploit the degrees of freedom in the design to achieve our result. Computing analytical gradient expressions of our objective function allows to minimize the condition number of the closed-loop eigenvector matrix using gradient-based optimization. Additionally, we will also discuss how further design goals can be easily included into the design which is exemplified by the notion of output coupling.","PeriodicalId":127957,"journal":{"name":"22nd Mediterranean Conference on Control and Automation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Robust eigenstructure assignment using parametric output feedback\",\"authors\":\"Jan Strubel, U. Konigorski\",\"doi\":\"10.1109/MED.2014.6961547\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper investigates a new approach for the design of robust output feedback controllers with respect to minimizing the condition number of the closed-loop eigenvector matrix. Relying on a recently proposed procedure for parametric eigenstructure assignment, we exploit the degrees of freedom in the design to achieve our result. Computing analytical gradient expressions of our objective function allows to minimize the condition number of the closed-loop eigenvector matrix using gradient-based optimization. Additionally, we will also discuss how further design goals can be easily included into the design which is exemplified by the notion of output coupling.\",\"PeriodicalId\":127957,\"journal\":{\"name\":\"22nd Mediterranean Conference on Control and Automation\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-06-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"22nd Mediterranean Conference on Control and Automation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MED.2014.6961547\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"22nd Mediterranean Conference on Control and Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MED.2014.6961547","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Robust eigenstructure assignment using parametric output feedback
This paper investigates a new approach for the design of robust output feedback controllers with respect to minimizing the condition number of the closed-loop eigenvector matrix. Relying on a recently proposed procedure for parametric eigenstructure assignment, we exploit the degrees of freedom in the design to achieve our result. Computing analytical gradient expressions of our objective function allows to minimize the condition number of the closed-loop eigenvector matrix using gradient-based optimization. Additionally, we will also discuss how further design goals can be easily included into the design which is exemplified by the notion of output coupling.