Two-stage Recursive Least Squares Method for Modeling Power Signals

被引：0
|
作者：
Li, Xiangli [1 ]
Zhou, Lincheng [1 ]
Zhu, Peiyi [1 ]
机构：
[1] Changshu Inst Technol, Sch Elect & Automat Engn, Changshu, Peoples R China
来源：
FOURTH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND INFORMATION SCIENCES (CCAIS 2015) | 2015年
关键词：
least squares; parameter estimation; two-stage algorithm; decomposition technique; power signals; PARAMETER-ESTIMATION ALGORITHMS; ITERATIVE ESTIMATION ALGORITHM; IDENTIFICATION ALGORITHM; SYSTEMS;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper studies two-stage recursive least squares identification problems for power signals by the decomposition technique. The basic idea is to decompose a power signal model into two submodels and then to identify the parameters of each submodel, respectively. Compared with the recursive least squares algorithm, the dimensions of the involved covariance matrices in each submodel become small and thus the proposed algorithm has a high computational efficiency. Finally, the simulation results indicate that the proposed algorithm is effective.
引用
收藏
页码：390 / 395
页数：6
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