{"title":"基于提升技术的部分非正则系统的最优迭代学习控制","authors":"Shengyue Yang, Xiaoping Fan","doi":"10.1109/CCA.2007.4389209","DOIUrl":null,"url":null,"abstract":"Deficiencies of the optimal iterative learning control (ILC) for the non-regular systems are investigated in detail, then a faster control input updating and lifting technique is introduced in the design of optimal ILC for the partial non-regular systems. Besides, a novel optimal ILC based on new defined performance index in iteration domain is presented for the lifted systems. At last, simulation results are given to illustrated feasibility of proposed learning controls.","PeriodicalId":176828,"journal":{"name":"2007 IEEE International Conference on Control Applications","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimal Iterative Learning Controls for the Partial Non-Regular Systems Using Lifting Technique\",\"authors\":\"Shengyue Yang, Xiaoping Fan\",\"doi\":\"10.1109/CCA.2007.4389209\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Deficiencies of the optimal iterative learning control (ILC) for the non-regular systems are investigated in detail, then a faster control input updating and lifting technique is introduced in the design of optimal ILC for the partial non-regular systems. Besides, a novel optimal ILC based on new defined performance index in iteration domain is presented for the lifted systems. At last, simulation results are given to illustrated feasibility of proposed learning controls.\",\"PeriodicalId\":176828,\"journal\":{\"name\":\"2007 IEEE International Conference on Control Applications\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-11-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 IEEE International Conference on Control Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCA.2007.4389209\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 IEEE International Conference on Control Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCA.2007.4389209","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal Iterative Learning Controls for the Partial Non-Regular Systems Using Lifting Technique
Deficiencies of the optimal iterative learning control (ILC) for the non-regular systems are investigated in detail, then a faster control input updating and lifting technique is introduced in the design of optimal ILC for the partial non-regular systems. Besides, a novel optimal ILC based on new defined performance index in iteration domain is presented for the lifted systems. At last, simulation results are given to illustrated feasibility of proposed learning controls.
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