本文阐述了两类不同概念的递推最小二乘估计。
In this paper, Two Different Concepts for the Recursion of Least Square Estimation is Introduced.
给出了当数据一步更新时，利用矩阵QR分解进行最小二乘估计的直接递推形式。
The direct form for the recursive least squares estimation via matrix QR decomposition with one step data updated is given .
本文就卫星测地情形，对最小二乘估计的递推算法进行误差分析。
A error analysis of the recurrent algorithm of Least Squares estimate for satellite geodesy is given in this paper.
将基于递推最小二乘算法的转速在线辨识方法引入电动助力转向系统中，以估计助力电动机的转速。
A speed identification method based on recursive least square (RLS) algorithm is introduced into electric power steering (EPS) system for estimating the speed of EPS motor.
与常规递推增广最小二乘算法相比，提出的方法具有更快的收敛速度，能产生更高精度的参数估计。
Compared with the recursive extended least squares algorithms, the proposed two algorithms have fast convergence rates and can produce highly accurate parameter estimation.
所提出的辨识新方法，以递推最小二乘（RLS）参数估计与非线性规划（BFGS）为主体。
The new identification method for nonlinear systems is presented, which combinesrecursive least-square (RLS) parameter estimation with nonlinear programming (BFGS).
所提出的辨识新方法，以递推最小二乘（RLS）参数估计与非线性规划（BFGS）为主体。
The new identification method for nonlinear systems is presented, which combinesrecursive least-square (RLS) parameter estimation with nonlinear programming (BFGS).
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