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 on orthogonal least square期刊界 All Journals 搜尽天下杂志传播学术成果专业期刊搜索期刊信息化学术搜索

按检索

基于正交最小二乘的非线性系统模糊辨识

引用本文：	刘福才,路平立,裴润.基于正交最小二乘的非线性系统模糊辨识[J].系统工程学报,2005,20(3):299-302.

作者姓名：	刘福才路平立裴润

作者单位：	1. 燕山大学电气工程学院自动化系,河北,秦皇岛,066004;哈尔滨工业大学航天学院控制工程系,黑龙江,哈尔滨,150001 2. 燕山大学电气工程学院自动化系,河北,秦皇岛,066004 3. 哈尔滨工业大学航天学院控制工程系,黑龙江,哈尔滨,150001

基金项目：	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．
关键词：	模糊辨识 T-S模型模糊划分正交最小二乘
文章编号：	1000-5781(2005)03-0299-04
Fuzzy identification method of nonlinear system based on orthogonal least square

LIU Fu-cai,LU Ping-li,PEI Run.Fuzzy identification method of nonlinear system based on orthogonal least square[J].Journal of Systems Engineering,2005,20(3):299-302.

Authors:	LIU Fu-cai LU Ping-li PEI Run

Institution:	LIU Fu-cai~

Abstract:	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.

Keywords:	fuzzy identification T-S model fuzzy partition orthogonal least square
本文献已被 CNKI 维普万方数据等数据库收录！

设为首页 | 免责声明 | 关于勤云 | 加入收藏