{"title":"基于重复过程强实际稳定性的迭代学习控制简化方法","authors":"P. Dabkowski, K. Gałkowski, E. Rogers","doi":"10.1109/NDS.2009.5196178","DOIUrl":null,"url":null,"abstract":"This paper develops significant new results on the design of Iterative Learning Control (ILC) schemes based on treating the problem within the framework of the stability/ control theory for linear repetitive processes. In particular, so-called strong practical stability is used and it is shown that this can be used to effect in cases where the performance specifications are placed on both error convergence and transient performance.","PeriodicalId":299363,"journal":{"name":"2009 International Workshop on Multidimensional (nD) Systems","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A Simplified approach to Iterative Learning Control based on strong practical stability of repetitive processes\",\"authors\":\"P. Dabkowski, K. Gałkowski, E. Rogers\",\"doi\":\"10.1109/NDS.2009.5196178\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper develops significant new results on the design of Iterative Learning Control (ILC) schemes based on treating the problem within the framework of the stability/ control theory for linear repetitive processes. In particular, so-called strong practical stability is used and it is shown that this can be used to effect in cases where the performance specifications are placed on both error convergence and transient performance.\",\"PeriodicalId\":299363,\"journal\":{\"name\":\"2009 International Workshop on Multidimensional (nD) Systems\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-08-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Workshop on Multidimensional (nD) Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NDS.2009.5196178\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Workshop on Multidimensional (nD) Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NDS.2009.5196178","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Simplified approach to Iterative Learning Control based on strong practical stability of repetitive processes
This paper develops significant new results on the design of Iterative Learning Control (ILC) schemes based on treating the problem within the framework of the stability/ control theory for linear repetitive processes. In particular, so-called strong practical stability is used and it is shown that this can be used to effect in cases where the performance specifications are placed on both error convergence and transient performance.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
