{"title":"双重控制设计:基于TS模糊模型变换的方法","authors":"P. Baranyi","doi":"10.1109/IoD55468.2022.9986626","DOIUrl":null,"url":null,"abstract":"The paper would like introduce the key steps of the Dual Control Design that is based on the fact that if the controller and the observer are derived from different TS fuzzy models of the given model the resulting control solution yield a better control performance. The motivation is based on the fact that finding the best controller and observer requires different features of the TS fuzzy model.","PeriodicalId":376545,"journal":{"name":"2022 IEEE 1st International Conference on Internet of Digital Reality (IoD)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Dual Control Design: TS fuzzy model transformation based approach\",\"authors\":\"P. Baranyi\",\"doi\":\"10.1109/IoD55468.2022.9986626\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper would like introduce the key steps of the Dual Control Design that is based on the fact that if the controller and the observer are derived from different TS fuzzy models of the given model the resulting control solution yield a better control performance. The motivation is based on the fact that finding the best controller and observer requires different features of the TS fuzzy model.\",\"PeriodicalId\":376545,\"journal\":{\"name\":\"2022 IEEE 1st International Conference on Internet of Digital Reality (IoD)\",\"volume\":\"84 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-06-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE 1st International Conference on Internet of Digital Reality (IoD)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IoD55468.2022.9986626\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 1st International Conference on Internet of Digital Reality (IoD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IoD55468.2022.9986626","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Dual Control Design: TS fuzzy model transformation based approach
The paper would like introduce the key steps of the Dual Control Design that is based on the fact that if the controller and the observer are derived from different TS fuzzy models of the given model the resulting control solution yield a better control performance. The motivation is based on the fact that finding the best controller and observer requires different features of the TS fuzzy model.
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