搜索资源列表
Low-Complexity-
- 本文提出了一种低复杂度的变遗忘因子机制用于递归最小二乘恒模约束算法中来抑制干扰。改进的方法通过恒模代价函数的时间平均来调节遗忘因子，从而更快地跟踪干扰并抑制，该文章计算量低，收敛速度快。-This paper presents a low complexity variable forgetting factor recursive mechanism for lscm constraint method to suppress interference. Improved methods be
forget_factor
- 字典学习dictionary learning算法中遗忘因子的设置，matlab版-Dictionary learning dictionary learning algorithm forgetting factor setting, matlab version
RLS3
- 利用MATLAB实现带遗忘因子的系统参数的估计，这里用到的是系统辨识中的RLS3法-Using MATLAB with forgetting factor to estimate system parameters, used here is RLS3 method of system identification
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
RLS
- 基本最小二乘法、加权最小二乘法（包括一次完成、递推算法）、最小二乘适应算法（包括遗忘因子法、限定记忆法）以及进行偏差补偿的最小二乘法，有详细的文档说明，程序注释也很详尽-The basic method of least squares, weighted least squares method (including a complete, recursive algorithm), least squares adaptation algorithm (including forgettin
ILRprogram
- 带遗忘因子的线性回归算法程序，适用于时变特性的数据-Data with forgetting factor linear regression algorithm procedures applicable to the time-varying characteristics
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
Forgetting_factor
- 遗忘因子最小二乘算法示例程序（一次计算法），可以直接运行-Forgetting factor least squares algorithm sample program (a calculation method), can be directly run
Part_1
- 自适应控制算法里面有关带遗忘因子的最小二乘法的实现。帮助初学者熟悉自适应控制的基本思想和工作方式。-Adaptive control algorithm on the realization of the least squares method with forgetting factor. Help beginners to familiar with the basic idea of adaptive control and the way to work.
FFRLS
- 开环系统参数辨识，带遗忘因子的递推最小二乘估计法（FFRLS)，系统为单入单出的CAR(带控制量的自回归模型）模型,三阶系统-Open-loop system parameter identification, recursive least squares estimation method with forgetting factor (FFRLS), SISO system of CAR (with a controlled amount of autoregressive model)
LS4
- 增加了遗忘因子的最小二乘递推算法，算法更加准确-The least squares recursive algorithm of forgetting factor is added, and the algorithm is more accurate
LS3
- 遗忘因子最小二乘一次计算法,就是在一般最小二乘算法上面添加了遗忘因子-Forgetting factor least squares one-time calculation method, that is, in the general least squares algorithm added forgetting factor
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
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
作业六遗忘因子
- 利用matlab实现遗忘因子最小二乘算法，绝对可以运行(Using MATLAB to realize the forgetting factor least square algorithm, it is absolutely possible to run)
newmarkb
- 考虑一结构系统 m*Xdd+k*X+c*Xd=y 利用已知Xdd（加速度），Xd（速度），X（位移），y(外荷载)系列数据，采用递归最小二乘法实现在线参数m、k、c识别，须考虑到“遗忘因子”。(Consider a structural system m*Xdd+k*X+c*Xd=y By using known Xdd (acceleration), Xd (velocity), X (displacement) and Y (external load) series data, rec
RLS
- 锂离子电池内部参数辨识，带有遗忘因子的最小二乘算法(Internal parameter identification of lithium ion battery and least square algorithm with forgetting factor)
Untitled
- 最小二乘法锂电池模拟，带遗忘因子的递推最小二乘法模拟。(The least squares method is used to simulate lithium battery and recursive least square method with forgetting factor.)
自适应控制（有突变无阶次辨识）
- 带遗忘因子的递推最小二乘参数估计以及带有辅助变量的广义最小方差自校正控制算法及结果，源码可找我要(Recursive Least Squares Parameter Estimation with Forgetting Factor and Generalized Minimum Variance Self-Tuning Control Algorithm with Auxiliary Variables and Results)