{"title":"Fault-Tolerance of Linear Quadratic Optimal Systems","authors":"Q. Xia, M. Rao, Y.X. Sun, Y. Ying","doi":"10.1109/ACC.1992.4175501","DOIUrl":null,"url":null,"abstract":"This paper investigates fault-tolerance of linear quadratic optimal systems. Fault-tolerance is defined as the bound of allowable sensor and actuator gain degradations to maintain stability. Quantitative results for fault-tolerance are obtained using Lyapunov matrix equation solutions. A relation is established between the fualt-tolerance and the prespecified stability degree ¿ and weighting matrix Q in cost function. An iterative algorithm is developed to design the system of the highest fault-tolerance.","PeriodicalId":297258,"journal":{"name":"1992 American Control Conference","volume":"98 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"1992 American Control Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACC.1992.4175501","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 investigates fault-tolerance of linear quadratic optimal systems. Fault-tolerance is defined as the bound of allowable sensor and actuator gain degradations to maintain stability. Quantitative results for fault-tolerance are obtained using Lyapunov matrix equation solutions. A relation is established between the fualt-tolerance and the prespecified stability degree ¿ and weighting matrix Q in cost function. An iterative algorithm is developed to design the system of the highest fault-tolerance.
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