{"title":"Intelligent nonlinear predictive control","authors":"E. Al-Gallaf","doi":"10.1109/IEEEGCC.2006.5686185","DOIUrl":null,"url":null,"abstract":"This research article presents a Fuzzy structure for a Model Predictive Control (MPC) system. MPC theorem has recently been incorporated with fuzzy models. Such an integration provides controller design methods for an MPC control system. The paper concentrates on aspects of fuzzy based MPC for multivariable systems. Mathematical formulation of linearized MPC is utilized to introduce the concept of fuzzy based MPC scheme, then fuzzy MPC is constructed based on a modeled pH reactor.","PeriodicalId":433452,"journal":{"name":"2006 IEEE GCC Conference (GCC)","volume":"11 7","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 IEEE GCC Conference (GCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEEEGCC.2006.5686185","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
This research article presents a Fuzzy structure for a Model Predictive Control (MPC) system. MPC theorem has recently been incorporated with fuzzy models. Such an integration provides controller design methods for an MPC control system. The paper concentrates on aspects of fuzzy based MPC for multivariable systems. Mathematical formulation of linearized MPC is utilized to introduce the concept of fuzzy based MPC scheme, then fuzzy MPC is constructed based on a modeled pH reactor.
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