{"title":"Identification of nonlinear systems based on adaptive fuzzy systems embedding quasi-ARMAX model","authors":"Jinglu Hu, K. Kumamaru","doi":"10.1109/SICE.1995.526659","DOIUrl":null,"url":null,"abstract":"This paper addresses the issues related to identification of nonlinear systems based on adaptive fuzzy systems (AFSs) embedding quasi-ARMAX model. A general nonlinear system can be represented as a quasi-ARMAX form, in which the parameters .","PeriodicalId":344374,"journal":{"name":"SICE '95. Proceedings of the 34th SICE Annual Conference. International Session Papers","volume":"161 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"SICE '95. Proceedings of the 34th SICE Annual Conference. International Session Papers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SICE.1995.526659","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
This paper addresses the issues related to identification of nonlinear systems based on adaptive fuzzy systems (AFSs) embedding quasi-ARMAX model. A general nonlinear system can be represented as a quasi-ARMAX form, in which the parameters .
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
