{"title":"A new type of fuzzy controller based upon a fuzzy expert system shell FLOPS","authors":"H. Ying, W. Siler, D. Tucker","doi":"10.1109/AIIA.1988.13322","DOIUrl":null,"url":null,"abstract":"The authors propose a type of fuzzy controller which is not based on existing fuzzy control theory. Instead, it is based on the general-purpose parallel rule-firing fuzzy logic production system shell, FLOPS. Several different process models are controlled by this fuzzy controller to evaluate its control performances. The performance of the proposed fuzzy controller is compared to that of a fine-tuned proportional-integral controller by using a first-order linear model. Theoretical aspects of the proposed fuzzy controller are studied using different kinds of fuzzy logic for evaluating the fuzzy control rules.<<ETX>>","PeriodicalId":112397,"journal":{"name":"Proceedings of the International Workshop on Artificial Intelligence for Industrial Applications","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1988-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the International Workshop on Artificial Intelligence for Industrial Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AIIA.1988.13322","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
The authors propose a type of fuzzy controller which is not based on existing fuzzy control theory. Instead, it is based on the general-purpose parallel rule-firing fuzzy logic production system shell, FLOPS. Several different process models are controlled by this fuzzy controller to evaluate its control performances. The performance of the proposed fuzzy controller is compared to that of a fine-tuned proportional-integral controller by using a first-order linear model. Theoretical aspects of the proposed fuzzy controller are studied using different kinds of fuzzy logic for evaluating the fuzzy control rules.<>