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.
在此基础上利用递推最小二乘算法辨识出模型的结论参数。
The conclusion parameters are identified by the recursive least-square identification algorithm.
并用具有可变遗忘因子的递推最小二乘实时校正算法对模型参数进行在线识别。
At the same time, it makes on line distinguishing of the model parameters by recursion minimum quadratic multiplication real time correction algorithm with changeable forget factor.
本文在分析递推最小二乘算法的基础上，给出了在微机变压器差动保护中采用的实用递推算法。
In this paper the recursive least square algorithm is described and a practical recursive algorithm is used in differential protection of transformer.
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).
提出一种基于新的模糊模型和加权递推最小二乘算法(WRLSA)的非线性系统模糊辨识方法。
A fuzzy identification method for nonlinear systems is suggested based on a new fuzzy model and weighted recursive least square algorithm (WRLSA).
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.
为了改善固定遗忘因子递推最小二乘(rls)算法在时变系统中的跟踪性能，提出一种改进的RLS算法。
In order to improve the tracking performance of the fixed forgetting factor RLS algorithm in the time-varying system, a modified RLS algorithm is proposed.
文章提出一种基于多分辨率学习的正交基小波神经网络结构的设计方法，网络权值的学习采用阻尼递推最小二乘算法。
A designing method of wavelet neural network structure based on multiresolution learning is put forward, and the studies of network weights adopt damped least squares.
分别用递推最小二乘算法、基本蚁群算法与混合蚁群算法训练模糊系统，混合蚁群算法的收敛效果优于递推最小二乘算法与基本蚁群算法。
The convergence error of hybrid ant colony algorithm is small in comparison to that of recursive least square algorithm and basic ant colony algorithm.
另外，为了克服递推最小二乘出现的误差积累、传递现象，采用基于矩阵ud分解的递推最小二乘方法确定模糊模型的结论参数，从而实现模糊模型的结构和参数优化。
In addition, the recursive least square based on matrix UD decomposition is used to confirm the conclusion parameters of fuzzy model for the sake of accumulating and transferring o.
本文讲述的是一种应用加权递推的最小二乘辨识算法测试舵机带宽的实用方法。
An efficient method for testing the band width of actuator, weighted recursive least squares identification arithmetic, is presented in this paper.
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 .
本文介绍一个计算直交投影的递推公式，并介绍如何用其求解线性最小二乘问题。
A recursive formula for orthogonal projections and its application to the least squares problem are introduced in this paper.
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.
利用广义逆矩阵的理论，本文给出了完整的最小二乘递推算法，并由此得到若干很有意义的推论。
Using the theory of generalized inverse matrix, a perfect algorithm of recurrence for least square has been derived. And from this algorithm, some corollaries of great significance were obtained.
并给出了带移动窗的加权最小二乘递推公式。
And recursive LSM formulas with weights using moving window are presented.
提出一种新的基于递推部分最小二乘(RPLS)算法的自适应在线质量监控策略。
An adaptive recursive partial least squares (RPLS) monitoring scheme is proposed to improve the time-variant tracking power of the statistical quality monitoring (SQM) systems.
它由基于知识的开关控制、送风摄动信号自寻最优控制和最小二乘递推算法组成。
The system is composed of a knowledge-based switch control, a self-optimizing control based on the perturbation signal and the least square recurrence method.
通常在使用递推加权最小二乘算法时，需要设计矩阵列满秩。
It is usually required that the design matrix is column full rank in applying recursive weighted least squares algorithm.
将关键变量分离原理和辅助模型思想相结合，得到单新息递推增广最小二乘辨识算法。
By combining the key term separation principle with the auxiliary model idea, we can obtain the single innovation recursive extended least squares identification algorithm.
针对基于批量数据的传统偏最小二乘（PLS）模型无法随生产过程的变化而更新的问题，提出基于块式递推PLS的限定记忆法。
By combining block-wise recursive PLS with finite memory method, a new adaptive algorithm was proposed to build adaptive soft-sensor.
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.
本文用最小二乘递推算法辨识自回归模型和自回归动平均模型，编制了电力系统短期在线负荷予报程序。
This paper uses the recursion algorithm of the least-square method to identify an autoregression model and an autoregression moving average model.
本文用最小二乘递推算法辨识自回归模型和自回归动平均模型，编制了电力系统短期在线负荷予报程序。
This paper uses the recursion algorithm of the least-square method to identify an autoregression model and an autoregression moving average model.
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