{"title":"不确定二维Roesser系统鲁棒单调收敛的一个充分条件","authors":"Zhifu Li, Yueming Hu, Qiwei Guo","doi":"10.1109/CoDIT.2014.6996916","DOIUrl":null,"url":null,"abstract":"This paper investigates the robust monotonic convergence of discrete uncertain two-dimensional (2-D) systems described by Roesser model. The robust monotonic convergence problem of the uncertain 2-D system is firstly converted to two H∞ disturbance attenuation problems of the traditional one-dimensional system. Then, the sufficient condition is derived for the robust monotonic convergence, which is given by two linear matrix inequalities (LMIs). Furthermore, it can be shown that either of the LMIs can also guarantee the Bounded-Input Bounded-Output (BIBO) stability of the uncertain 2-D system. Those observations would facilitate the analysis and synthesis of 2-D systems.","PeriodicalId":161703,"journal":{"name":"2014 International Conference on Control, Decision and Information Technologies (CoDIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A sufficient condition on the robust monotonic convergence of uncertain 2-D Roesser systems\",\"authors\":\"Zhifu Li, Yueming Hu, Qiwei Guo\",\"doi\":\"10.1109/CoDIT.2014.6996916\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper investigates the robust monotonic convergence of discrete uncertain two-dimensional (2-D) systems described by Roesser model. The robust monotonic convergence problem of the uncertain 2-D system is firstly converted to two H∞ disturbance attenuation problems of the traditional one-dimensional system. Then, the sufficient condition is derived for the robust monotonic convergence, which is given by two linear matrix inequalities (LMIs). Furthermore, it can be shown that either of the LMIs can also guarantee the Bounded-Input Bounded-Output (BIBO) stability of the uncertain 2-D system. Those observations would facilitate the analysis and synthesis of 2-D systems.\",\"PeriodicalId\":161703,\"journal\":{\"name\":\"2014 International Conference on Control, Decision and Information Technologies (CoDIT)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 International Conference on Control, Decision and Information Technologies (CoDIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CoDIT.2014.6996916\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Control, Decision and Information Technologies (CoDIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CoDIT.2014.6996916","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A sufficient condition on the robust monotonic convergence of uncertain 2-D Roesser systems
This paper investigates the robust monotonic convergence of discrete uncertain two-dimensional (2-D) systems described by Roesser model. The robust monotonic convergence problem of the uncertain 2-D system is firstly converted to two H∞ disturbance attenuation problems of the traditional one-dimensional system. Then, the sufficient condition is derived for the robust monotonic convergence, which is given by two linear matrix inequalities (LMIs). Furthermore, it can be shown that either of the LMIs can also guarantee the Bounded-Input Bounded-Output (BIBO) stability of the uncertain 2-D system. Those observations would facilitate the analysis and synthesis of 2-D systems.