{"title":"Predictive Control Based on Support Vector Machine Model","authors":"J. Wang, Shuyi Sun","doi":"10.1109/WCICA.2006.1712639","DOIUrl":null,"url":null,"abstract":"To the nonlinear controlled objects that generally exist in industrial processes, a predictive control algorithm based on support vector machine (SVM) model was proposed. First, SVM model with RBF kernel function was constructed offline. Then, the future values of controlled variable were predicted and linearized online using the SVM model. Finally, generalized predictive control (GPC) was applied to realize control goal. The simulation proves that this method is effective","PeriodicalId":375135,"journal":{"name":"2006 6th World Congress on Intelligent Control and Automation","volume":"137 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 6th World Congress on Intelligent Control and Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WCICA.2006.1712639","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
To the nonlinear controlled objects that generally exist in industrial processes, a predictive control algorithm based on support vector machine (SVM) model was proposed. First, SVM model with RBF kernel function was constructed offline. Then, the future values of controlled variable were predicted and linearized online using the SVM model. Finally, generalized predictive control (GPC) was applied to realize control goal. The simulation proves that this method is effective
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