{"title":"一种提高模糊控制稳态精度的方法","authors":"M. Su, Lunjun Chen","doi":"10.1109/FSKD.2008.329","DOIUrl":null,"url":null,"abstract":"According to the basic theory of improving digital precision, the paper brings forward a method to improve steady-state precision of fuzzy control based upon the steady-state error of conventional fuzzy control, by adjusting the quantification factor in the small error range and using the original rule table of conventional fuzzy control. Simulation result by MATLAB shows that the method can improve significantly steady-state precision of fuzzy control under the no increasing control rules.","PeriodicalId":208332,"journal":{"name":"2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Method of Improving Steady-State Precision of Fuzzy Control\",\"authors\":\"M. Su, Lunjun Chen\",\"doi\":\"10.1109/FSKD.2008.329\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"According to the basic theory of improving digital precision, the paper brings forward a method to improve steady-state precision of fuzzy control based upon the steady-state error of conventional fuzzy control, by adjusting the quantification factor in the small error range and using the original rule table of conventional fuzzy control. Simulation result by MATLAB shows that the method can improve significantly steady-state precision of fuzzy control under the no increasing control rules.\",\"PeriodicalId\":208332,\"journal\":{\"name\":\"2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-10-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"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.2008.329\",\"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.2008.329","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Method of Improving Steady-State Precision of Fuzzy Control
According to the basic theory of improving digital precision, the paper brings forward a method to improve steady-state precision of fuzzy control based upon the steady-state error of conventional fuzzy control, by adjusting the quantification factor in the small error range and using the original rule table of conventional fuzzy control. Simulation result by MATLAB shows that the method can improve significantly steady-state precision of fuzzy control under the no increasing control rules.
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