搜索资源列表
matlab_rl_rls
- matlab最小二乘法（LS）与递推最小二乘法（RLS）程序-matlab least squares (LS) and recursive least squares (RLS)
RLS
- 递推最小二乘法。可设计带遗忘因子的最小二乘法-Recursive least square method. Least squares method with forgetting factor
PRLS
- 本文提出了一种时变参数多项式扩展递推最小二乘法（PRLS）-This paper proposes a time-varying parameter polynomial extension recursive least squares (PRLS)
bianshi_01
- 遗忘因子递推最小二乘法估算系统模型参数-Forgetting Factor Recursive Least-squares
Least-Squares
- 最小二乘法是系统辨识中最经典的方法，它通过最小化误差的平方和寻找数据的最佳函数匹配。利用最小二乘法可以简便地求得未知的数据，并使得这些求得的数据与实际数据之间误差的平方和为最小。最小二乘法还可用于曲线拟合。其他一些优化问题也可通过最小化能量或最大化熵用最小二乘法来表达。其中，RLS是递推最小二乘法程序，ELS是增广递推最小二乘法的程序。- System identification least squares method is the most classic method, which
RLS
- 离线递推最小二乘法，对于新手有一定参考意义-offline RLS
RLS
- 系统辨识中参数辨识ARM模型 基于递推最小二乘法-ARM system identification parameter identification method based on recursive least squares model
xitongbianshi_FFRLS
- 遗忘因子递推最小二乘法,比普通最小二乘算法辨识效果更佳-Forgetting factor recursive least squares
chap3-3
- 用递推最小二乘法对数学模型进行参数辨识。-Using the resursive least squares method to the mathematical model parametres are identified
chap3_5
- 用增广递推最小二乘法对数学模型进行辨识。-Using augmented recursive least squares meehod for mathematical model parameters are identified
xiao
- 递推最小二乘法用matlab编码的形式的实现-The recursive least square method with matlab code in the form of implementation
chap2_06_RLS
- 利用递推最小二乘法对参数进行辨识，有作图结果-Using the recursive least squares method to identify the parameters, there are mapping results
System-Identification
- 辨识升力系数以及阻力系数，运用递推最小二乘法及遗忘因子法最小二乘法进行系统辨识-Identify the lift coefficient and the drag coefficient, and use the recursive least squares method and the forgetting factor method least squares method to identify the system
RLS (1)
- 功能：递推最小二乘法示例，内含代码详细说明；(Recursive least squares example;)
bianshi
- 递推最小二乘法辨识参数 MATLAB例程(Recursive least square method to identify parameters)
chap2
- 系统辨识算例（批处理最小二乘法，递推最小二乘法，遗忘因子最小二乘法等参数估计）(Example of system identification)
RLS20160228(1)方针
- 递推最小二乘法源代码，可以用于系统参数辨识(RLS source code, you can use for system parameter identification)
926571
- dituizuixiaoerchengfa,递推最小二乘法源程序()
系统参数辨识+matlab+实现
- 对该模型参数辨识采用递推最小二乘法，即RLS（ recurisive least square），它是一种能够对模型参数进行在线实时估计的辨识方法(parameter identification)
FIR_RLS
- RLS滤波算法即递推最小二乘法，其又称为最小二乘法，是最小二乘算法的一类快速算法，递归最小二乘自适应滤波器是对一组已知数据的最佳滤波器,处理过程中没有对输入序列的统计特性做出假定,而是纯决定性的最小化问题。相对于LMS自适应横向滤波器具有更好的性能。(RLS filtering algorithm)