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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.
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)
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.
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
A-variety-of-least-squares
- 各种最小二乘法，包含一次性地推完成，遗忘因子最小二乘法等等各种最小二乘递推-A variety of least squares
Forgetting-factor
- 自适应控制中，用Matlab算法实现带遗忘因子递推最小二乘参数估计-Forgetting factor recursive least squares parameter estimation
FFRLS
- 系统辨识与自适应控制---遗忘因子递推最小二乘参数估计-forgetting factor recursive least squares parameter estimation
RLST
- 系统辨识 自适应控制 带遗忘因子 经典递推最小二乘-system identification least square alogorithm with a fogetting factor
1
- matlab实现： ①用乘同余数法产生白噪声 ②遗忘因子递推最小二乘参数估计（FFRLS）③M序列及逆M序列的产生④批处理最小二乘参数估计（LS）⑤产生m序列-Use by remnant produce white noise with law
RLS1
- 本程序为带遗忘因子的递归最小二乘的程序，在MATLAB下进行仿真。-This procedure with forgetting factor recursive least squares procedure, the MATLAB simulation.
code
- 遗忘因子最小二乘递推算法(RFF) ，经典的程序- Forgetting factor recursive least squares algorithm (RFF), a classic program
yiwangyizi
- 有遗忘因子的最小二乘，递推最小二乘的缺点是常常出现数据饱和，新加入的数据对参数向量的更新作用不大，加如遗忘因子可很好的解决这一问题-Forgetting factor least squares, recursive least squares drawback is often saturated data, new data on the update of the parameter vector, such as the forgotten factor can be a good so
LSPE
- 提供了几种最小二乘法程序包括：批处理最小二乘参数估计，递推最小二乘参数估计，遗忘因子递推最小二乘参数估计，递推增广最小二乘参数估计。-Provides several least squares procedures include: Batch least squares parameter estimation, recursive least squares parameter estimation, forgetting factor recursive least squares pa
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
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
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)
Least squares identification
- 对四阶系统的最小二乘辨识； 其根本思想能表现为新的估计值 是在老的估计值 的基础上修正而得的(Least squares identification of fourth order system; Its fundamental idea can be expressed as a new estimate is based on the old estimate based on the revised)
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)
SSRLS
- 状态空间递归最小二乘（SSRLS）是确定性信号的线性估计的最优。 然而，SSRLS的性能取决于模型的不确定性，观测信号的时变性质或观测噪声的非平稳行为。 我们结合遗忘因子的随机梯度调整来开发具有自适应记忆的SSRLS。 这种新算法解决了标准SSRLS面临的局限性。 还导出了减轻计算负担的实际滤波器的近似值。 跟踪有噪声啁啾的示例表示并演示了新算法的整体能力和功能。 预计这种新滤波器能够跟踪和估计难以处理可用工具的时变信号(State Space Recursive Least Squares (