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系统辨识
- 系统辨识中的各种辨识算法：如最小二乘法、递推最小二乘法、广义最小二乘、变遗忘因子递推算法等。-System Identification of identification algorithm : if the least-squares method, recursive least squares method, generalized least squares, changing the forgotten factor algorithm.
FORGETMETHODFORIDENTTIFICATION
- 遗忘因子法递推算法用于估计数学模型的参数，精确度较高-Fvrls recursive algorithm mathematical model used to estimate the parameters of the higher precision
yiwangyinzizuixiaoerchengfa
- 这是黑龙江大学自控理论专业同学在最优估计课程当中用matlab编写的带遗忘因子的最小二乘法!-This is the theory of controlled Heilongjiang University students in professional courses optimal estimate prepared by using Matlab forgotten factor with the least squares method.
modelC
- 利用遗忘因子法和AIC辨识法，对一个输入输出数据已知的系统进行参数和阶次辨识。-use Fvrls and AIC identification method, a pair of input and output data of known system parameters and order identification.
LMS_RLS
- LMS和RLS算法性能的比较，包括权值比较、遗忘因子的影响等
ftest
- 遗忘因子法辨识系统参数，直接可以允许的ＭＡＴＬＡＢ程序
forget
- 遗忘因子算法C++程序源代码。站长能不能少打几个字呢。
系统辨识C语言程序
- 系统辨识与建模\6.遗忘因子法程序
single
- 带遗忘因子的卡尔曼滤波程序 MATLAB仿真程序-With forgetting factor of the Kalman filter procedure MATLAB simulation program
FORGETMETHODFORIDENTTIFICATION
- 遗忘因子法递推算法用于估计数学模型的参数,精确度较高!-Forgetting factor recursive algorithm method used to estimate the parameters of the mathematical model, high accuracy!
forgettingfactor
- 用VB编写的参数估计带遗忘因子递推最小二乘法仿真（RLS）-VB prepared using the parameters estimated with forgetting factor recursive least squares method Simulation (RLS)
forgettingfactorrecursiveleastsquaresmethodSimulat
- BASIC语言编写的参数估计带遗忘因子递推最小二乘法仿真-BASIC language of the parameter estimation with forgetting factor recursive least squares method simulation
rls
- 递推遗忘因子最小二乘 recursive forgotten factor ls-recursive forgotten factor ls
selftuning
- 具有遗忘因子的最小二乘算法实现的一个案例，包含了仿真模型及M文件，且M文件配有详细的注释，通俗易懂。-Least squares algorithm with forgetting factor to achieve a case, including the simulation model and the M file, and the M file with detailed notes, easy to understand.
RLS_Algo
- 功能描述：用matlab语言实现RLS自适应算法 函数名：RLS_Algo 输入参数： (1)M:滤波器的阶数 (2)N:LMS算法迭代的次数 (3)lamda:遗忘因子 (4)xn:LMS算法的输入序列 输出参数： (1)系数矢量A 调用函数：无 被调用： 作者：mingcheng 编写时间：2009-10-13 修改时间：2009-10-13 版本：V1.0 -Function Descr
prom_3
- 最小方差调节器和最小方差自校正调节器。 设计最小方差调节器和最小方差自校正调节器，实现闭环仿真控制，了解这两种调节器的性质，特别是某些参数(如遗忘因子)的影响-Minimum variance regulator and the minimum variance self-tuning regulator. Design of minimum variance and minimum variance regulator self-tuning regulator to achieve cl
LMS
- 一种改进的LMS算法及其在噪声对消中的应用。在分析传统定步长LMS算法和变步长LMS算法的基础上，提出了一种改进的变步长LMS算法。新算法利用瞬时误差绝对值三次方的指数形式和遗忘因子同时调整步长，更好的解决了收敛速度和稳态误差的矛盾-An improved LMS algorithm and its application in noise cancellation. In the analysis of the traditional fixed step and variable step
RFF
- 基于matlab的遗忘因子最小二乘递推算法辨识程序-Matlab-based forgetting factor RLS identification procedures
可变遗忘因子
- 本程序为遗忘因子最小二乘法，可以拷贝至matlab的M文件中适应(Matlab for ] least square method)
遗忘因子的最小二乘法
- 基于遗忘因子的最小二乘法，采用matlab，适用于电池等校模型建立