{"title":"有限频域多时滞离散系统的迭代学习控制","authors":"Xiaohui Li, Jianqiang Shen, Hongfeng Tao, Shoulin Hao","doi":"10.1109/DDCLS49620.2020.9275244","DOIUrl":null,"url":null,"abstract":"This paper developes iterative learning control scheme and the stability conditions for multiple time-delays discrete system. By formulating the problem over repetitive process form using 2D theory, sufficient stability conditions for multiple time-delays discrete system are developed along the trial, which guarantees the trial-to-trial error monotonic convergence. Moreover, the generalized Kalman-Yakubovich-Popov (KYP) lemma allows the iterative learning control scheme to develope stability conditions with LMI constraints and analyze in the finite frequency domain. A numerical simulation for multiple time-delays discrete system is given to verify the proposed method.","PeriodicalId":420469,"journal":{"name":"2020 IEEE 9th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Iterative Learning Control for Multiple Time-Delays Discrete Systems in Finite Frequency Domain\",\"authors\":\"Xiaohui Li, Jianqiang Shen, Hongfeng Tao, Shoulin Hao\",\"doi\":\"10.1109/DDCLS49620.2020.9275244\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper developes iterative learning control scheme and the stability conditions for multiple time-delays discrete system. By formulating the problem over repetitive process form using 2D theory, sufficient stability conditions for multiple time-delays discrete system are developed along the trial, which guarantees the trial-to-trial error monotonic convergence. Moreover, the generalized Kalman-Yakubovich-Popov (KYP) lemma allows the iterative learning control scheme to develope stability conditions with LMI constraints and analyze in the finite frequency domain. A numerical simulation for multiple time-delays discrete system is given to verify the proposed method.\",\"PeriodicalId\":420469,\"journal\":{\"name\":\"2020 IEEE 9th Data Driven Control and Learning Systems Conference (DDCLS)\",\"volume\":\"59 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-11-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE 9th Data Driven Control and Learning Systems Conference (DDCLS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DDCLS49620.2020.9275244\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 9th Data Driven Control and Learning Systems Conference (DDCLS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DDCLS49620.2020.9275244","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Iterative Learning Control for Multiple Time-Delays Discrete Systems in Finite Frequency Domain
This paper developes iterative learning control scheme and the stability conditions for multiple time-delays discrete system. By formulating the problem over repetitive process form using 2D theory, sufficient stability conditions for multiple time-delays discrete system are developed along the trial, which guarantees the trial-to-trial error monotonic convergence. Moreover, the generalized Kalman-Yakubovich-Popov (KYP) lemma allows the iterative learning control scheme to develope stability conditions with LMI constraints and analyze in the finite frequency domain. A numerical simulation for multiple time-delays discrete system is given to verify the proposed method.