摘要
研究有色噪声扰动下反馈未知的闭环系统的无偏辨识问题，提出了一种偏差补偿最小二乘法．应用这种方法，在噪声未建模的情况下，即可获得前向通道中对象模型和反馈通道中控制器模型参数的渐近无偏估计．
This paper studies the problem of indentifying closed loop systems in the presence of colored noises.A bias compensated least squares method is developed,which is able to estimate consistently the transfer function of the plant and controller in the closed loop system,even if the models of the noises are not known
出处
《自动化学报》
EI
CSCD
北大核心
1997年第3期308-313,共6页
Acta Automatica Sinica
基金
国家自然科学重点基金资助课题.
关键词
闭环辨识
最小二乘法
一致估计
控制器
模型
Consistent estimation,least squares method,closed loop identification.
