{"title":"Control of nonlinear systems using a Fuzzy Neural Network","authors":"Ching-Hong Lee, C. Teng","doi":"10.1109/AFSS.1996.583554","DOIUrl":null,"url":null,"abstract":"In this paper we present a fuzzy neural network (FNN) for controlling single-input single-output nonlinear affine system. The proposed fuzzy neural network controller feedback linearizes the nonlinear control system. The tracking performance is achieved by a state feedback controller based on the fuzzy neural network, even though the nonlinear system is unknown.","PeriodicalId":197019,"journal":{"name":"Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AFSS.1996.583554","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
In this paper we present a fuzzy neural network (FNN) for controlling single-input single-output nonlinear affine system. The proposed fuzzy neural network controller feedback linearizes the nonlinear control system. The tracking performance is achieved by a state feedback controller based on the fuzzy neural network, even though the nonlinear system is unknown.