遗忘因子递推最小二乘法,Forgetting Factor Recursive Least-squares
1)Forgetting Factor Recursive Least-squares遗忘因子递推最小二乘法
1.In the method,Forgetting Factor Recursive Least-squares algorithm is used to estimate time-varying parameters The Simulation result shows the change tendency of the parameters according to time.采用遗忘因子递推最小二乘法辨识算法跟踪时变参数,仿真并给出参数变化曲线。
2)EFRLS推广的遗忘因子递推最小二乘算法
英文短句/例句
1.Application of the Extented Forgetting Factor Recursive Least Squares Estimator to GPS;推广的遗忘因子递推最小二乘算法在GPS中的应用
2.RECURSIVE FAST ALGORITHM FOR LEAST SQUARES ESTIMATION WITH HOUSEHOLDER TRANSFORMATION最小二乘估计的HOUSEHOLDER变换快速递推算法
3.A novel recursive MOESP subspace identification algorithm based on forgetting factor一种新的基于遗忘因子的递推子空间辨识算法
4.Recursive extended least squares identification method based on auxiliary models基于辅助模型的递推增广最小二乘辨识方法
5.RLS Algorithm on Array Antenna with Failure Cells;阵列天线单元失效的递推最小二乘算法应用
6.Application of Recursive Least Square Method to Angular Error Checking递推最小二乘法在角位置误差检定中的应用
7.Recursive Partial Least-squares Modeling of Aromatics and Olefins in Gasoline递推偏最小二乘法的油品芳烃烯烃成分建模
8.Recursive least-squares and minimum-norm algorithm for system identification without persistent excitation condition非持续激励条件下系统辨识递推最小二乘最小范数算法
9.least squares collocation最小二乘配置法，最小二乘拟合推估法
10.Improved block-wise recursive partial least square modeling method and its application改进块式递推偏最小二乘建模方法及应用
11.Improved RLS algorithm for nonlinear time-varying system identification based on feed forward neural networks基于前向神经网络的非线性时变系统辨识的改进递推最小二乘算法
12.Modeling approach to nonlinear MISO sensor system based on B-spline recursive least-squares基于B样条递推最小二乘的非线性MISO传感器系统建模方法
13.Study of SINS alignment based on weighted recursive least squares algorithm加权递推最小二乘的捷联式惯导系统初始对准方法研究
14.In this paper, Two Different Concepts for the Recursion of Least Square Estimation is Introduced.本文阐述了两类不同概念的递推最小二乘估计。
15.A result concerning the extension of optimally weighted least squares;推广的最优加权最小二乘估计解的一个结果
16.The Recursive Identification Algorithm of the Minimum Absolute Error Sum Regression最小绝对误差和回归的递推辨识算法
17.The Automatic Generation of Relaxation Factor in SOR Method Based on Least Square Method;基于最小二乘法的SOR法松弛因子自动生成算法
18.Genetic Algorithms Research Based on Nonlinear Least Squares Estimation;非线性最小二乘估计的遗传算法研究
相关短句/例句
EFRLS推广的遗忘因子递推最小二乘算法
3)recursive forgetting factor method带固定遗忘因子的递推最小二乘法
1.Aimed at the pneumatic position servo system with pole-placement adaptive control,its on-line identification was investigated by usingrecursive forgetting factor method(RFF) and amendatory square root method.针对采用极点配置自适应控制的气动位置伺服系统,分别应用带固定遗忘因子的递推最小二乘法和修正平方根法的辨识方法对其进行在线辨识研究。
4)recursive least square filtering with forgetting factor带遗忘因子的递推最小二乘滤波
5)forgetting factor least square algorithm遗忘因子最小二乘法
6)RFF algorithm递归遗忘最小二乘法
1.A mixed identification method, which extends the range of application ofRFF algorithm, combiningRFF algorithm with mutual correlation technique is presented for time-varying systems with dominant time delay.对具有时变特性的大纯滞后对象进行参数估计是系统辨识的一项重要课题,该文结合递归遗忘最小二乘法和互相关函数,提出了一种联合辨识算法,该方法扩展了递归遗忘最小二乘算法的应用范围。
延伸阅读
递推估计算法利用时刻t上的参数估计孌(t)、存储向量嗘(t)与时刻 t+1上测量的输入和输出值u(t+1)和y(t+1)计算新参数值孌(t+1),再根据孌(t+1)计算出新参数值孌(t+2)，直到获得满意的参数值为止。这种算法的每一步计算量都比较小，能够使用小型计算机进行离线或在线参数估计，可以估计时变参数，也可以实时估计适应控制器的参数（见适应控制系统）。20世纪60年代，递推估计算法得到迅速发展，到了70年代产生了许多不同的方法，例如，有离线方法的各种变形、卡尔曼滤波法、随机逼近方法和模型参考适应参数递推估计法等。递推估计算法的各种方法可以用一个统一的公式来描述：给孌(t),F(t),嫓(t)和w(t)不同的值就得到各种不同的方法：①递推最小二乘法；②递推增广最小二乘法；③递推近似极大似然法；④递推辅助变量法；⑤递推广义最小二乘法；⑥卡尔曼滤波参数估计；⑦随机逼近法；⑧模型参考适应法；⑨时变参数递推估计法。参考书目Lennart Ljung，Torsten Soderstrom， Theory and Practice of Recursive Identification，MIT Press., Combridge, Mass., 1983.
