摘要
利用辅助变量辨识方法,推导出多输入单输出系统的辅助变量递推最小二乘算法,并与辅助模型递推最小二乘法进行了计算量和辨识精度比较。
An instrumental variable based recursive least squares（IV-RLS）algorithm is derived for multiple input single output systems. The computational efficiency and identification accuracy of the IV-RLS algorithm and the auxiliary model based recursive least squares algorithm is compared.
出处
《科学技术与工程》
2009年第20期6135-6136,6141,共3页
Science Technology and Engineering
基金
国家自然科学基金(60574051)资助
关键词
辅助变量
辅助模型
递推辨识
最小二乘
参数估计
instrumental variable auxiliary model recursive identification least squares parameter estimation
