{"title":"多输入多输出系统的分数预测控制","authors":"Chouaibi D., Chagra W.","doi":"10.1109/scc53769.2021.9768370","DOIUrl":null,"url":null,"abstract":"Considering the fact that most of physical processes have MIMO models and the fact of fractional order model ability in accurate representing real plants, the aim of the paper is to realize a model predictive control scheme for MIMO fractional order systems. The developed control algorithm, based on Grunwald-Letnikov method, offers reduced calculation cost which is illustrated through simulation results.","PeriodicalId":365845,"journal":{"name":"2021 IEEE 2nd International Conference on Signal, Control and Communication (SCC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Fractional Predictive Control of Multi-Input Multi-Output Systems\",\"authors\":\"Chouaibi D., Chagra W.\",\"doi\":\"10.1109/scc53769.2021.9768370\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Considering the fact that most of physical processes have MIMO models and the fact of fractional order model ability in accurate representing real plants, the aim of the paper is to realize a model predictive control scheme for MIMO fractional order systems. The developed control algorithm, based on Grunwald-Letnikov method, offers reduced calculation cost which is illustrated through simulation results.\",\"PeriodicalId\":365845,\"journal\":{\"name\":\"2021 IEEE 2nd International Conference on Signal, Control and Communication (SCC)\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-12-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE 2nd International Conference on Signal, Control and Communication (SCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/scc53769.2021.9768370\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 2nd International Conference on Signal, Control and Communication (SCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/scc53769.2021.9768370","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fractional Predictive Control of Multi-Input Multi-Output Systems
Considering the fact that most of physical processes have MIMO models and the fact of fractional order model ability in accurate representing real plants, the aim of the paper is to realize a model predictive control scheme for MIMO fractional order systems. The developed control algorithm, based on Grunwald-Letnikov method, offers reduced calculation cost which is illustrated through simulation results.
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