{"title":"不确定离散奇异系统的改进鲁棒状态反馈H∞控制综合","authors":"Antonio González, T. Guerra, P. Garcia","doi":"10.1109/ICOSC.2018.8587813","DOIUrl":null,"url":null,"abstract":"In this paper, a sufficient condition based on linear matrix inequalities (LMI) is provided to address the robust state-feedback H∞ control synthesis of discrete-time singular uncertain systems. By applying state-space model reduction techniques and small gain theory, more efficient control synthesis algorithms are obtained in comparison to other similar approaches. The complexity of the involved algorithms is reduced, whilst keeping or even improving the closed-loop performance. Finally, some examples are borrowed from recent literature to illustrate the effectiveness of the proposed method.","PeriodicalId":153985,"journal":{"name":"2018 7th International Conference on Systems and Control (ICSC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An improved robust state-feedback H∞ control synthesis for uncertain discrete-time singular systems\",\"authors\":\"Antonio González, T. Guerra, P. Garcia\",\"doi\":\"10.1109/ICOSC.2018.8587813\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a sufficient condition based on linear matrix inequalities (LMI) is provided to address the robust state-feedback H∞ control synthesis of discrete-time singular uncertain systems. By applying state-space model reduction techniques and small gain theory, more efficient control synthesis algorithms are obtained in comparison to other similar approaches. The complexity of the involved algorithms is reduced, whilst keeping or even improving the closed-loop performance. Finally, some examples are borrowed from recent literature to illustrate the effectiveness of the proposed method.\",\"PeriodicalId\":153985,\"journal\":{\"name\":\"2018 7th International Conference on Systems and Control (ICSC)\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 7th International Conference on Systems and Control (ICSC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICOSC.2018.8587813\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 7th International Conference on Systems and Control (ICSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOSC.2018.8587813","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An improved robust state-feedback H∞ control synthesis for uncertain discrete-time singular systems
In this paper, a sufficient condition based on linear matrix inequalities (LMI) is provided to address the robust state-feedback H∞ control synthesis of discrete-time singular uncertain systems. By applying state-space model reduction techniques and small gain theory, more efficient control synthesis algorithms are obtained in comparison to other similar approaches. The complexity of the involved algorithms is reduced, whilst keeping or even improving the closed-loop performance. Finally, some examples are borrowed from recent literature to illustrate the effectiveness of the proposed method.