%0 Journal Article
%T TIME-VARYING SYSTEM MODELING METHOD BASED ON FUZZY INFERENCE<br>基于Fuzzy推理的时变系统建模
%A 李洪兴
%A 宋雯彦
%A 袁学海
%A 李宇成
%J 系统科学与数学
%D 2009
%I 
%X A kind of modeling method for general time-varying systems, which uses modeling method based on fuzzy inference (MMFI), is proposed here. To get model of a time-varying system, firstly the time dimension divided into some periods, then in every short time interval, time-invariant model is used to approach the original time-varying system, in the end a time-varying nonlinear differential equation with variable coefficients is obtained. The processes of how to obtain the input-output type model and the state space type model are discussed in detail. In addition, a theory is given to ensure the approximation performance of HX equations. The simulation experiments show that the mathematical models formed by this method can approximate the general time-varying nonlinear systems with high accuracy.
%K Modeling method based on fuzzy inference
%K HX equations
%K interpolation mechanism on fuzzy logic systems
%K time-varying systems
%K input-output time-varying model
%K state space time-varying model<br>Fuzzy推理建模法
%K HX方程
%K Fuzzy逻辑系统的插值机理
%K 时变系统
%K 输入输出型时变模型
%K 状态空间型时变模型.
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=6E709DC38FA1D09A4B578DD0906875B5B44D4D294832BB8E&cid=37F46C35E03B4B86&jid=0CD45CC5E994895A7F41A783D4235EC2&aid=6893A38CF23E788C4802A749A6FC2BEB&yid=DE12191FBD62783C&vid=771469D9D58C34FF&iid=5D311CA918CA9A03&sid=8DABBEB130EFF191&eid=A91C28383511878F&journal_id=1000-0577&journal_name=系统科学与数学&referenced_num=0&reference_num=10