基于正交最小二乘的非线性系统模糊辨识  

Fuzzy identification method of nonlinear system based onorthogonal least square

作　　者：刘福才[1] 路平立[1] 裴润[2] 

机构地区：[1]燕山大学电气工程学院自动化系,河北秦皇岛066004 [2]哈尔滨工业大学航天学院控制工程系,黑龙江哈尔滨150001

出　　处：《系统工程学报》2005年第3期299-302,共4页Journal of Systems Engineering

基　　金：黑龙江省自然科学基金资助项目;燕山大学博士基金资助项目(B111).

摘　　要：提出了一种新的基于T S模糊模型的建模方法.该方法是基于输入空间的模糊划分计算给定样本在各模糊子空间的隶属度,并利用正交最小二乘辨识模糊模型的结论参数.最后通过Box Jenkins煤气炉数据和Mackey Glass混沌时间序列的仿真结果验证了该方法的有效性与实用性.<Abstrcat> This paper proposes a new fuzzy modeling method based on T-S fuzzy model. This method is based on fuzzy partition of input space, and calculates the grade of membership of given patterns in each fuzzy subspace. The consequence parameter identification is obtained by orthogonal least square. Finally, the effectiveness and practicability of this method is demonstrated by the simulation results of the Box-Jenkins gas furnace data and the Mackey-Glass chaotic time series.

关 键 词：模糊辨识 T-S模型 模糊划分 正交最小二乘 

分 类 号：TP15[自动化与计算机技术—控制理论与控制工程]