{"title":"离散线性系统的静态输出反馈控制:背景结果和新的LMI条件","authors":"H. Gritli, A. Zemouche, S. Belghith","doi":"10.1109/ASET.2019.8870986","DOIUrl":null,"url":null,"abstract":"In this paper, attention is focused on the design of a stabilizing static output feedback (SOF) gain matrix for linear discrete-time systems. Our design methodology of the SOF controller is based on the linear matrix inequality (LMI) approach. Unlike the state feedback control case, the SOF formulation usually leads to non-convex stability conditions, which are expressed in terms of Bilinear Matrix Inequalities (BMIs) that are not numerically traceable. To circumvent the computation problem of the SOF gain, several techniques have been developed to transform the non-convex conditions into convex ones. In this paper, some background results related to this convexity problem are firstly presented. Furthermore, a new approach is employed in this work to transform the BMI constraints into LMIs by introducing a new lemma. Finally, a simulation example is given to testify the validity of the developed LMI conditions.","PeriodicalId":216138,"journal":{"name":"2019 International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Static Output Feedback Control of Discrete-Time Linear Systems: Background Results and New LMI Conditions\",\"authors\":\"H. Gritli, A. Zemouche, S. Belghith\",\"doi\":\"10.1109/ASET.2019.8870986\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, attention is focused on the design of a stabilizing static output feedback (SOF) gain matrix for linear discrete-time systems. Our design methodology of the SOF controller is based on the linear matrix inequality (LMI) approach. Unlike the state feedback control case, the SOF formulation usually leads to non-convex stability conditions, which are expressed in terms of Bilinear Matrix Inequalities (BMIs) that are not numerically traceable. To circumvent the computation problem of the SOF gain, several techniques have been developed to transform the non-convex conditions into convex ones. In this paper, some background results related to this convexity problem are firstly presented. Furthermore, a new approach is employed in this work to transform the BMI constraints into LMIs by introducing a new lemma. Finally, a simulation example is given to testify the validity of the developed LMI conditions.\",\"PeriodicalId\":216138,\"journal\":{\"name\":\"2019 International Conference on Advanced Systems and Emergent Technologies (IC_ASET)\",\"volume\":\"81 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 International Conference on Advanced Systems and Emergent Technologies (IC_ASET)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ASET.2019.8870986\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASET.2019.8870986","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Static Output Feedback Control of Discrete-Time Linear Systems: Background Results and New LMI Conditions
In this paper, attention is focused on the design of a stabilizing static output feedback (SOF) gain matrix for linear discrete-time systems. Our design methodology of the SOF controller is based on the linear matrix inequality (LMI) approach. Unlike the state feedback control case, the SOF formulation usually leads to non-convex stability conditions, which are expressed in terms of Bilinear Matrix Inequalities (BMIs) that are not numerically traceable. To circumvent the computation problem of the SOF gain, several techniques have been developed to transform the non-convex conditions into convex ones. In this paper, some background results related to this convexity problem are firstly presented. Furthermore, a new approach is employed in this work to transform the BMI constraints into LMIs by introducing a new lemma. Finally, a simulation example is given to testify the validity of the developed LMI conditions.