{"title":"Robust MPC For Fractional MIMO systems","authors":"Khaled Hcheichi , Faouzi Bouani","doi":"10.1016/j.egypro.2019.04.023","DOIUrl":null,"url":null,"abstract":"<div><p>This paper deals with fractional multi-input, multi-output systems which guarantees a very small number of parameters that can reduce the computation time. It focuses in particular on the state-space representation of systems which highlights the state variables and allows to study the internal behavior with taking into account the initial state. It also discusses the discretization of this type of system to finally adapt the Robust Model Predictive Control (RMPC) to apply it and show its efficiency and performance in these systems.</p></div>","PeriodicalId":11517,"journal":{"name":"Energy Procedia","volume":"162 ","pages":"Pages 211-220"},"PeriodicalIF":0.0000,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.egypro.2019.04.023","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energy Procedia","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1876610219313827","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 paper deals with fractional multi-input, multi-output systems which guarantees a very small number of parameters that can reduce the computation time. It focuses in particular on the state-space representation of systems which highlights the state variables and allows to study the internal behavior with taking into account the initial state. It also discusses the discretization of this type of system to finally adapt the Robust Model Predictive Control (RMPC) to apply it and show its efficiency and performance in these systems.