{"title":"鲁棒输出方差约束控制器设计","authors":"C. Hsieh","doi":"10.23919/ACC.1992.4792667","DOIUrl":null,"url":null,"abstract":"A performance robust controller design for systems with multiple output constraints and unstructured uncertainties is proposed. With system uncertainties and output variance constraints given a priori, this algorithm, starting with a stability robust controller obtained from singular H¿ control design, tunes the controller gain to satisfy the output constraints while maintains the stability robustness. This algorithm is based on a modified algebraic Riccati equation. The existence condition for a solution to this equation turns out to be a necessary and sufficient condition for the quadratic stability of the uncertain system. Furthermore, it provides an upperbound on the steady state covariance. A dual deterministic problem is also given which is mathematically equivalent to the stochastic problem.","PeriodicalId":297258,"journal":{"name":"1992 American Control Conference","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Robust Output Variances Constrained Controller Design\",\"authors\":\"C. Hsieh\",\"doi\":\"10.23919/ACC.1992.4792667\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A performance robust controller design for systems with multiple output constraints and unstructured uncertainties is proposed. With system uncertainties and output variance constraints given a priori, this algorithm, starting with a stability robust controller obtained from singular H¿ control design, tunes the controller gain to satisfy the output constraints while maintains the stability robustness. This algorithm is based on a modified algebraic Riccati equation. The existence condition for a solution to this equation turns out to be a necessary and sufficient condition for the quadratic stability of the uncertain system. Furthermore, it provides an upperbound on the steady state covariance. A dual deterministic problem is also given which is mathematically equivalent to the stochastic problem.\",\"PeriodicalId\":297258,\"journal\":{\"name\":\"1992 American Control Conference\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-06-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1992 American Control Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/ACC.1992.4792667\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1992 American Control Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/ACC.1992.4792667","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A performance robust controller design for systems with multiple output constraints and unstructured uncertainties is proposed. With system uncertainties and output variance constraints given a priori, this algorithm, starting with a stability robust controller obtained from singular H¿ control design, tunes the controller gain to satisfy the output constraints while maintains the stability robustness. This algorithm is based on a modified algebraic Riccati equation. The existence condition for a solution to this equation turns out to be a necessary and sufficient condition for the quadratic stability of the uncertain system. Furthermore, it provides an upperbound on the steady state covariance. A dual deterministic problem is also given which is mathematically equivalent to the stochastic problem.