{"title":"利用凸规划对模糊模型进行预测控制","authors":"J. Espinosa, J. Vandewalle","doi":"10.1109/ISIC.1999.796690","DOIUrl":null,"url":null,"abstract":"Some key ideas about the use of fuzzy models in predictive control are presented. The discussion is extended to the use of interior point methods to solve the optimization problem in predictive control problems. The use of interior point methods opens the door to the formulation of robust optimization problems and by using this formulation a robust model predictive control strategy can be formulated. The paper shows such a formulation and explains how the Takagi-Sugeno description of a fuzzy model can be very efficient to formulate the uncertainties.","PeriodicalId":300130,"journal":{"name":"Proceedings of the 1999 IEEE International Symposium on Intelligent Control Intelligent Systems and Semiotics (Cat. No.99CH37014)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"The use of convex programming on fuzzy model based predictive control\",\"authors\":\"J. Espinosa, J. Vandewalle\",\"doi\":\"10.1109/ISIC.1999.796690\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Some key ideas about the use of fuzzy models in predictive control are presented. The discussion is extended to the use of interior point methods to solve the optimization problem in predictive control problems. The use of interior point methods opens the door to the formulation of robust optimization problems and by using this formulation a robust model predictive control strategy can be formulated. The paper shows such a formulation and explains how the Takagi-Sugeno description of a fuzzy model can be very efficient to formulate the uncertainties.\",\"PeriodicalId\":300130,\"journal\":{\"name\":\"Proceedings of the 1999 IEEE International Symposium on Intelligent Control Intelligent Systems and Semiotics (Cat. No.99CH37014)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 1999 IEEE International Symposium on Intelligent Control Intelligent Systems and Semiotics (Cat. No.99CH37014)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISIC.1999.796690\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 1999 IEEE International Symposium on Intelligent Control Intelligent Systems and Semiotics (Cat. No.99CH37014)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISIC.1999.796690","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The use of convex programming on fuzzy model based predictive control
Some key ideas about the use of fuzzy models in predictive control are presented. The discussion is extended to the use of interior point methods to solve the optimization problem in predictive control problems. The use of interior point methods opens the door to the formulation of robust optimization problems and by using this formulation a robust model predictive control strategy can be formulated. The paper shows such a formulation and explains how the Takagi-Sugeno description of a fuzzy model can be very efficient to formulate the uncertainties.