{"title":"温度控制系统的多模型广义预测控制","authors":"Bin Liu, Zheng Jiang, Kang-ling Fang","doi":"10.1109/FSKD.2008.129","DOIUrl":null,"url":null,"abstract":"A multi-model control algorithm based on T-S model is presented in this paper. A stable generalized predictive controller is constructed as a local controller for the linear model, which constitutes the consequent of each fuzzy rule in the T-S model. The stability proof is given for the local controller, and then the global controller is implemented by weighed integration of the local controller. The proposed algorithm is applied to a temperature control system and the experimental results demonstrate the merits and effectiveness of the new algorithm.","PeriodicalId":208332,"journal":{"name":"2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Multi-model Generalized Predictive Control for Temperature Control System\",\"authors\":\"Bin Liu, Zheng Jiang, Kang-ling Fang\",\"doi\":\"10.1109/FSKD.2008.129\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A multi-model control algorithm based on T-S model is presented in this paper. A stable generalized predictive controller is constructed as a local controller for the linear model, which constitutes the consequent of each fuzzy rule in the T-S model. The stability proof is given for the local controller, and then the global controller is implemented by weighed integration of the local controller. The proposed algorithm is applied to a temperature control system and the experimental results demonstrate the merits and effectiveness of the new algorithm.\",\"PeriodicalId\":208332,\"journal\":{\"name\":\"2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-10-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FSKD.2008.129\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FSKD.2008.129","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multi-model Generalized Predictive Control for Temperature Control System
A multi-model control algorithm based on T-S model is presented in this paper. A stable generalized predictive controller is constructed as a local controller for the linear model, which constitutes the consequent of each fuzzy rule in the T-S model. The stability proof is given for the local controller, and then the global controller is implemented by weighed integration of the local controller. The proposed algorithm is applied to a temperature control system and the experimental results demonstrate the merits and effectiveness of the new algorithm.
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