%0 Journal Article
%T AN EXTENSION-PRINCIPLE-BASED FUZZY MODEL AND ITS IDENTIFICATION ALGORITHM<br>一种基于扩张原理的模糊模型及其辨识方法
%A CHEN Yixin
%A XIAO Deyun
%A <br>陈怡欣
%A 萧德云
%J 自动化学报
%D 1999
%I 
%X An extended TSK model--ETSK model, based on LR type fuzzy numbers and their extended operations, is proposed in this paper. The input-output analytic expression is proved and a parameter identification algorithm is also constructed to identify the areas and gravity centers of the membership functions of LR type fuzzy numbers. A kind of variable weight TSK model which is equivalent to the ETSK model is also deduced. Simulation shows that the ETSK model can give out more accurate long-range predictions than an LM model and a TSK model.
%K Fuzzy identification
%K LM models
%K TSK models
%K ETSK models<br>模糊辨识
%K 扩张原理
%K 模糊模型
%K 非线性系统
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=DDD75577B433B35DA91486713F83FA05&yid=B914830F5B1D1078&vid=C5154311167311FE&iid=B31275AF3241DB2D&sid=6EDA906E07280FB0&eid=762CFFBBDED11937&journal_id=0254-4156&journal_name=自动化学报&referenced_num=3&reference_num=0