{"title":"基于二维理论的线性连续系统鲁棒迭代学习控制分析与综合","authors":"O. Kouki, C. Mnasri, M. Gasmi","doi":"10.1109/WSMEAP.2015.7338203","DOIUrl":null,"url":null,"abstract":"We present in this paper the analysis and the synthesis of robust iterative learning control RILC for linear continuous system based on H∞ approach. The two dimensional 2D systems are studied here to improve the monotonically convergence and to prove the efficiency of the proposed approach. Linear matrix inequality LMI techniques are also used to compute the P type RILC algorithm.","PeriodicalId":261624,"journal":{"name":"2015 World Symposium on Mechatronics Engineering & Applied Physics (WSMEAP)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Analysis and synthesis of robust iterative learning control for linear continuous systems based on 2D theory\",\"authors\":\"O. Kouki, C. Mnasri, M. Gasmi\",\"doi\":\"10.1109/WSMEAP.2015.7338203\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present in this paper the analysis and the synthesis of robust iterative learning control RILC for linear continuous system based on H∞ approach. The two dimensional 2D systems are studied here to improve the monotonically convergence and to prove the efficiency of the proposed approach. Linear matrix inequality LMI techniques are also used to compute the P type RILC algorithm.\",\"PeriodicalId\":261624,\"journal\":{\"name\":\"2015 World Symposium on Mechatronics Engineering & Applied Physics (WSMEAP)\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-06-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 World Symposium on Mechatronics Engineering & Applied Physics (WSMEAP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WSMEAP.2015.7338203\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 World Symposium on Mechatronics Engineering & Applied Physics (WSMEAP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WSMEAP.2015.7338203","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analysis and synthesis of robust iterative learning control for linear continuous systems based on 2D theory
We present in this paper the analysis and the synthesis of robust iterative learning control RILC for linear continuous system based on H∞ approach. The two dimensional 2D systems are studied here to improve the monotonically convergence and to prove the efficiency of the proposed approach. Linear matrix inequality LMI techniques are also used to compute the P type RILC algorithm.