{"title":"具有网络时滞的网络控制系统的非易碎保证成本控制器设计","authors":"Ruiquan Lin, Xuwei Ding, Tao Huang, Chunying Wang","doi":"10.1109/ICAL.2010.5585358","DOIUrl":null,"url":null,"abstract":"Considering that the feedback gain is of additive norm-bounded uncertainties, based on linear matrix inequality (LMI), a design method of non-fragile guaranteed-cost controller for the networked control systems (NCS) with network-induced time delay is discussed in this paper. A sufficient condition of such controller is presented in LMI forms. The controller parameters can be obtained by solving the LMI. A numerical example is then given to illustrate the effectiveness of the designed method, that is, the designed nonfragile guaranteed-cost controller ensures the NCS asymptotically stable and the upper bound of the cost function value in expectation can also be obtained, while the NCS controlled by the robust guaranteed-cost controller will be unstable with respect to the uncertainties in the controller gain.","PeriodicalId":393739,"journal":{"name":"2010 IEEE International Conference on Automation and Logistics","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Non-fragile guaranteed-cost controller design for the networked control systems with network-induced time delay\",\"authors\":\"Ruiquan Lin, Xuwei Ding, Tao Huang, Chunying Wang\",\"doi\":\"10.1109/ICAL.2010.5585358\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Considering that the feedback gain is of additive norm-bounded uncertainties, based on linear matrix inequality (LMI), a design method of non-fragile guaranteed-cost controller for the networked control systems (NCS) with network-induced time delay is discussed in this paper. A sufficient condition of such controller is presented in LMI forms. The controller parameters can be obtained by solving the LMI. A numerical example is then given to illustrate the effectiveness of the designed method, that is, the designed nonfragile guaranteed-cost controller ensures the NCS asymptotically stable and the upper bound of the cost function value in expectation can also be obtained, while the NCS controlled by the robust guaranteed-cost controller will be unstable with respect to the uncertainties in the controller gain.\",\"PeriodicalId\":393739,\"journal\":{\"name\":\"2010 IEEE International Conference on Automation and Logistics\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-09-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE International Conference on Automation and Logistics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAL.2010.5585358\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE International Conference on Automation and Logistics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAL.2010.5585358","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Non-fragile guaranteed-cost controller design for the networked control systems with network-induced time delay
Considering that the feedback gain is of additive norm-bounded uncertainties, based on linear matrix inequality (LMI), a design method of non-fragile guaranteed-cost controller for the networked control systems (NCS) with network-induced time delay is discussed in this paper. A sufficient condition of such controller is presented in LMI forms. The controller parameters can be obtained by solving the LMI. A numerical example is then given to illustrate the effectiveness of the designed method, that is, the designed nonfragile guaranteed-cost controller ensures the NCS asymptotically stable and the upper bound of the cost function value in expectation can also be obtained, while the NCS controlled by the robust guaranteed-cost controller will be unstable with respect to the uncertainties in the controller gain.