%0 Journal Article
%T On-Line Identification of Nonlinear Systems Using Fuzzy Model<br>用模糊模型在线辨识非线性系统
%A CHEN JIANQIN
%A XI YUGENG
%A <br>陈建勤
%A 席裕庚
%J 自动化学报
%D 1998
%I 
%X Nonlinear system modeling using fuzzy system is discussed in this paper. A simple fuzzy rule representation method and the corresponding adaptive fuzzy inference are proposed. Based on this modified fuzzy system, the paper presents an on line identification algorithm with which the on line parameter estimation of nonlinear system is realized. A nonlinear model, as an example, is identified to verify the fuzzy system and identification algorithms.
%K Fuzzy systems
%K nonlinear system modeling
%K on
%K line identification
%K clustering algorithms<br>模糊模型
%K 在线辨识
%K 非线性系统
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=052A0212357718556B4883603664F5A5&yid=8CAA3A429E3EA654&vid=B91E8C6D6FE990DB&iid=CA4FD0336C81A37A&sid=869807E2D7BED9EC&eid=BB0EA31DB1B01173&journal_id=0254-4156&journal_name=自动化学报&referenced_num=25&reference_num=1