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基于Haar小波变换的连续时间系统参数辨识
引用本文:袁廷奇. 基于Haar小波变换的连续时间系统参数辨识[J]. 电气传动自动化, 2000, 0(3)
作者姓名:袁廷奇
作者单位:西安交通大学自控系!陕西西安710049
摘    要:给出了用 Haar小波辩识连续时间系统模型参数的方法。通过小波对积分建立的操作矩阵,简单有效地将微分方程化为代数方程。根据系统的测量数据并结合最小二乘算法辨识模型参数。给出了一个离线算法,仿真结果表明算法的有效性。

关 键 词:小波变换  系统辨识  算法

Parameter identification of continuous time system model based on Haar wavelet method
YUAN Ting-qi. Parameter identification of continuous time system model based on Haar wavelet method[J]. Electrical Drive Automation, 2000, 0(3)
Authors:YUAN Ting-qi
Abstract:A method of continuous .time system model identification based on Haar wavelet is presented. By using the operational matrix of integration based on Haar wavelet, the differential equation can be converted into algebraic equation efficiently and simply. Based on the measured data from the system, the model parameters can be identified by the method presented here together with the least square method. A off-line algorithm is Presented and the simu- lation shows its effectiveness.
Keywords:wavelet transform  system identification  algorithm  
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