{"title":"Design of an online rule-adaptive fuzzy control system","authors":"S. He, S. Tan, C. Hang, P. Wang","doi":"10.1109/FUZZY.1992.258600","DOIUrl":null,"url":null,"abstract":"The authors discuss the design of a rule-adaptive fuzzy control system, and demonstrate its usefulness in controlling plants of various dynamical natures. The rule-adaptive fuzzy controller generates the fuzzy control signal as a convex combination of the standard fuzzy inputs to the controller, the error, and the error rate. Such a combination is automatically adjusted online amid the varying control situations with a certain updating scheme. Two different updating schemes were applied to the simulations of four selected dynamical plants. The simulation results show that the controller is effective in controlling a wide range of dynamical plants.<<ETX>>","PeriodicalId":222263,"journal":{"name":"[1992 Proceedings] IEEE International Conference on Fuzzy Systems","volume":"145 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1992 Proceedings] IEEE International Conference on Fuzzy Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FUZZY.1992.258600","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
The authors discuss the design of a rule-adaptive fuzzy control system, and demonstrate its usefulness in controlling plants of various dynamical natures. The rule-adaptive fuzzy controller generates the fuzzy control signal as a convex combination of the standard fuzzy inputs to the controller, the error, and the error rate. Such a combination is automatically adjusted online amid the varying control situations with a certain updating scheme. Two different updating schemes were applied to the simulations of four selected dynamical plants. The simulation results show that the controller is effective in controlling a wide range of dynamical plants.<>