基于Matlab系统辨识工具箱的参数辨识

Parameter Identification Based on System Identification Toolbox in Matlab

论述了系统辨识的基本理论，针对最小二乘法参数辨识的缺陷引入了辅助变量法参数辨识。根据Matlab系统辨识工具箱中的一些基本函数，结合实例对最小二乘法参数辨识和辅助变量法参数辨识进行了对比分析，结果表明基于辅助变量法模型的输出与原系统输出相吻合。

This article introduces the basic theory of system identification. Then according to the defect of the least square method, it introduces the principle of supplementary variable in parameter identification. This paper also lists some basic parameter identification functions in Matlab system identification toolbox. Finally, the paper contrasts the two parameter identification methods through one example. The example shows that the supplementary variable method suits the originally system＇s output data better.