{"title":"Mixed H/sub 2//ESPR (extended strictly positive real) control for state-feedback case","authors":"D. Shim","doi":"10.1109/CDC.1994.411628","DOIUrl":null,"url":null,"abstract":"This paper considers a mixed H/sub 2//ESPR control problem for the state-feedback case. The problem is to find an internally stabilizing controller that minimizes a mixed H/sub 2//ESPR performance measure subject to an inequality constraint on the ESPRness (extended strictly positive real) of another closed-loop transfer function. This problem can be interpreted and motivated as a problem of optimal nominal performance subject to a robust stability constraint. It is shown that the state-feedback problem can be converted into a convex optimization problem over a bounded set of matrices, and that in the state-feedback problem, one can come arbitrary close to the optimal (even over full information controllers) mixed H/sub 2//ESPR performance measure using constant gain state-feedback.<<ETX>>","PeriodicalId":355623,"journal":{"name":"Proceedings of 1994 33rd IEEE Conference on Decision and Control","volume":"76 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 1994 33rd IEEE Conference on Decision and Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CDC.1994.411628","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper considers a mixed H/sub 2//ESPR control problem for the state-feedback case. The problem is to find an internally stabilizing controller that minimizes a mixed H/sub 2//ESPR performance measure subject to an inequality constraint on the ESPRness (extended strictly positive real) of another closed-loop transfer function. This problem can be interpreted and motivated as a problem of optimal nominal performance subject to a robust stability constraint. It is shown that the state-feedback problem can be converted into a convex optimization problem over a bounded set of matrices, and that in the state-feedback problem, one can come arbitrary close to the optimal (even over full information controllers) mixed H/sub 2//ESPR performance measure using constant gain state-feedback.<>