{"title":"线性二次最优系统的容错性","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":"{\"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}","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}
Fault-Tolerance of Linear Quadratic Optimal Systems
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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