{"title":"基于量化测量的离散T-S模糊仿射系统定阶输出反馈控制器设计","authors":"Wenqiang Ji, Jianbin Qiu, Tong Wang, Anqing Wang","doi":"10.1109/ICCA.2017.8003125","DOIUrl":null,"url":null,"abstract":"This paper addresses the problem of robust fixed-order dynamic output feedback (DOF) control for a class of Takagi-Sugeno (T-S) fuzzy affine systems via utilizing quantized measurements. Through a state-input augmentation method and piecewise quadratic Lyapunov functions, some sufficient conditions for fixed-order piecewise affine DOF controller synthesis are developed. It is noted that by some convexification techniques and S-procedure, sufficient conditions for the DOF controller synthesis are obtained in terms of a set of linear matrix inequalities (LMIs). One illustrative simulation example is shown to verify the effectiveness of the proposed controller design approach.","PeriodicalId":379025,"journal":{"name":"2017 13th IEEE International Conference on Control & Automation (ICCA)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Fixed-order output feedback controller design for discrete-time T-S fuzzy affine systems using quantized measurements\",\"authors\":\"Wenqiang Ji, Jianbin Qiu, Tong Wang, Anqing Wang\",\"doi\":\"10.1109/ICCA.2017.8003125\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper addresses the problem of robust fixed-order dynamic output feedback (DOF) control for a class of Takagi-Sugeno (T-S) fuzzy affine systems via utilizing quantized measurements. Through a state-input augmentation method and piecewise quadratic Lyapunov functions, some sufficient conditions for fixed-order piecewise affine DOF controller synthesis are developed. It is noted that by some convexification techniques and S-procedure, sufficient conditions for the DOF controller synthesis are obtained in terms of a set of linear matrix inequalities (LMIs). One illustrative simulation example is shown to verify the effectiveness of the proposed controller design approach.\",\"PeriodicalId\":379025,\"journal\":{\"name\":\"2017 13th IEEE International Conference on Control & Automation (ICCA)\",\"volume\":\"66 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 13th IEEE International Conference on Control & Automation (ICCA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCA.2017.8003125\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 13th IEEE International Conference on Control & Automation (ICCA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCA.2017.8003125","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fixed-order output feedback controller design for discrete-time T-S fuzzy affine systems using quantized measurements
This paper addresses the problem of robust fixed-order dynamic output feedback (DOF) control for a class of Takagi-Sugeno (T-S) fuzzy affine systems via utilizing quantized measurements. Through a state-input augmentation method and piecewise quadratic Lyapunov functions, some sufficient conditions for fixed-order piecewise affine DOF controller synthesis are developed. It is noted that by some convexification techniques and S-procedure, sufficient conditions for the DOF controller synthesis are obtained in terms of a set of linear matrix inequalities (LMIs). One illustrative simulation example is shown to verify the effectiveness of the proposed controller design approach.