{"title":"一类基于矢量图分析的非线性ILC算法","authors":"Tian Sen-ping, Z. Bo, Tian Huiping","doi":"10.1109/ICSSEM.2011.6081173","DOIUrl":null,"url":null,"abstract":"Based on the vector plots analysis, considering the space angles between the amendment of the actual input of the previous control and the amendment of general P-type algorithm control, iterative learning control law changes dynamically to deal with different control problems. The algorithm adjusts along the direction with faster convergence, improving the speed and the tracking performance of control. Simulations illustrate the effectiveness and superiority of the new algorithms.","PeriodicalId":406311,"journal":{"name":"2011 International Conference on System science, Engineering design and Manufacturing informatization","volume":"565 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A class of nonlinear ILC algorithms based on vector plots analysis\",\"authors\":\"Tian Sen-ping, Z. Bo, Tian Huiping\",\"doi\":\"10.1109/ICSSEM.2011.6081173\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Based on the vector plots analysis, considering the space angles between the amendment of the actual input of the previous control and the amendment of general P-type algorithm control, iterative learning control law changes dynamically to deal with different control problems. The algorithm adjusts along the direction with faster convergence, improving the speed and the tracking performance of control. Simulations illustrate the effectiveness and superiority of the new algorithms.\",\"PeriodicalId\":406311,\"journal\":{\"name\":\"2011 International Conference on System science, Engineering design and Manufacturing informatization\",\"volume\":\"565 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-11-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 International Conference on System science, Engineering design and Manufacturing informatization\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSSEM.2011.6081173\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 International Conference on System science, Engineering design and Manufacturing informatization","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSSEM.2011.6081173","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A class of nonlinear ILC algorithms based on vector plots analysis
Based on the vector plots analysis, considering the space angles between the amendment of the actual input of the previous control and the amendment of general P-type algorithm control, iterative learning control law changes dynamically to deal with different control problems. The algorithm adjusts along the direction with faster convergence, improving the speed and the tracking performance of control. Simulations illustrate the effectiveness and superiority of the new algorithms.
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