{"title":"Model free predictive control of nonlinear system","authors":"Qiubin Luo, Z. Han, Hong Zhu","doi":"10.1109/CCDC.2009.5195082","DOIUrl":null,"url":null,"abstract":"A model free predictive control is persented. This method does not need modeling in the predictive control. The eigenvector of generally model is identified and predicted by multi-layer recursive method. The model free predictive control law has advantage as well as model free control.","PeriodicalId":127110,"journal":{"name":"2009 Chinese Control and Decision Conference","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Chinese Control and Decision Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCDC.2009.5195082","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
A model free predictive control is persented. This method does not need modeling in the predictive control. The eigenvector of generally model is identified and predicted by multi-layer recursive method. The model free predictive control law has advantage as well as model free control.
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