{"title":"A More Efficient Iterative Learning Control for Anaerobic Digestion Process Set Point Tracking","authors":"Xiangjie Liu, Huimin Xu, Xuedong Zhang","doi":"10.1109/IHMSC.2015.136","DOIUrl":null,"url":null,"abstract":"To improve accuracy and efficiency of the set value tracking in anaerobic digestion process for wastewater treatment, a fast and high accurate ILC algorithm-closed loop iterative learning control is proposed. The introduced ILC utilizes m-accretive mapping theory to ensure the uniqueness of desired control input and a rigorous mathematical proof guarantees convergence of tracking error, at the same time the effectiveness of the proposed method is presented by simulations.","PeriodicalId":6592,"journal":{"name":"2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"107 1","pages":"468-471"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IHMSC.2015.136","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
To improve accuracy and efficiency of the set value tracking in anaerobic digestion process for wastewater treatment, a fast and high accurate ILC algorithm-closed loop iterative learning control is proposed. The introduced ILC utilizes m-accretive mapping theory to ensure the uniqueness of desired control input and a rigorous mathematical proof guarantees convergence of tracking error, at the same time the effectiveness of the proposed method is presented by simulations.
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