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fi
- 最小二乘法的递推辨识方法,主要是程序上的东西-Recursive identification method of least squares method, is a procedural thing
sysidjob5
- 此程序把M序列作为输入,使用最小二乘法对系统进行辨识,实现最小二乘的基本功能-M sequences in this program as input, using the least squares method to identify the basic functions of the least squares
els1
- 用增广最小二乘法进行单输入单输出系统的参数辨识,输入采用幅度为1的4阶伪随机序列-Extended least squares method parameters identification of single-input single-output system, enter using the amplitude of a 4-order pseudo-random sequence
Improved-least-squares-method-
- 改进型最小二乘法在PMSM参数辨识中的应用-Improved least squares method in the PMSM parameter identification
zuixiaoercheng
- 最小二乘算法,递推最小二乘法,用于参数辨识。-The least squares algorithm, recursive least squares method for parameter identification.
SI
- 最小二乘法实现系统辨识,并用GUI做成了界面,可对参数进行赋值和辨识-The method of least squares system identification, and made with GUI interface, parameter assignment and identification
Matlab
- Matlab 系统辨识 广义最小二乘法 -identification system parameters
MLS
- 当信噪比较大时,采用广义最小二乘法可能会出现多个局部收敛点,解决这个问题的方法可用多级最小二乘法,一般来说多级最小二乘法包含三级辨识过程。利用输入输出数据,通过多级最小二乘法,可分别求的辅助模型,过程模型和噪声模型的参数估计值。在高噪声的情况下,多级最小二乘法明显优于广义最小二乘法,其收敛点唯一。-When the signal noise ratio (SNR), and by use of the generalized least squares method may appear mor
cor_ls
- 把辨识分成两步进行:第一步:利用相关分析法获得对象的非参数模型(脉冲响应或相关函数);第二步:利用最小二乘法、辅助变量法或增广最小二乘法等,进一步求的对象的参数模型。如果模型噪声与输入无关,则Cor-ls相关最小二乘法(二步法)可以得到较好的辨识结果。Cor-ls相关最小二乘法(二步法)实质上是先对数据进行一次相关分析,滤除了有色噪声的影响,再利用最小二乘法必然就会改善辨识结果。能适应较宽广的噪声范围,计算量不大,初始值对辨识结果影响较小。但要求输入信号与噪声不相关-The identifica
RIV
- 适当选择辅助变量,使之满足相应条件,参数估计值就可以是无偏一致。估计辅助变量法的计算量与最小二乘法相当,但辨识效果却比最小二乘法好的多。尤其当噪声是有色的,而噪声的模型结构又不好确定时,增广最小二乘法和广义最小二乘法一般都不好直接应用,因为他们需要选用特定的模型结构,而辅助变量法不需要确定噪声的模型结构,因此辅助变量法就显得更为灵活,但辅助变量法不能同时获得噪声模型的参数估计。-Choose appropriate secondary variables, meet the relevant c
RELS
- 增广最小二乘的递推算法对应的噪声模型为滑动平均噪声,扩充了参数向量和数据向量H(k)的维数,把噪声模型的辨识同时考虑进去。最小二乘法只能获得过程模型的参数估计,而增广最小二乘法同时又能获得噪声模型的参数估计,若噪声模型为平均滑动模型,,则只能用RELS算法才能获得无偏估计。当数据长度较大时,辨识精度低于极大似然法。-Augmented least squares of recursion algorithm corresponding noise model for moving average
RGLS
- 该算法用于自回归输入模型,是一种迭代的算法。其基本思想是基于对数据先进行一次滤波处理,后利用普通最小二乘法对滤波后的数据进行辨识,进而获得无偏一致估计。但是当过程的输出信噪比比较大或模型参数较多时,这种数据白色化处理的可靠性就会下降,辨识结果往往会是有偏估计。数据要充分多,否则辨识精度下降。模型阶次不宜过高。初始值对辨识结果有较大影响。-The algorithm used for autoregressive input model, it is a kind of iterative alg
LS-for-system-identification
- 用最小二乘法进行系统辨识 很全、很好用,可以-Least square method for system identification
matlab-example
- 最小二乘法的Matlab参数辨识程序,每一步的解释都非常易懂清晰,是一个很好的matlab例子-Matlab least squares method parameter identification procedures, the explanation of each step are very easy to understand clearly, is a good example of matlab
bianshi
- 输入信号为PRBS,用基本最小二乘法进行系统辨识,输出系统模型图像和误差曲线。-The input signal is a PRBS, the basic method of least squares system identification, the model image and error curve of the output system.
RLS
- 基于最小二乘法的参数辨识,该模型为二阶模型-Parameter identification based on the method of least squares for second-order model
RLS3
- 采用最小二乘法进行参数辨识,模型为三阶模型。-Using the least squares method to identify the parameters, the model for the third-order model.
RLS3_modle
- 搭建最小二乘法的三阶模型,采用该模型的输入输出数据进行参数辨识-The third-order model to build the least squares method, input and output data of the model parameter identification
cuixiao2cheng
- 系统辨识最小二乘法例题的代码,matlab代码-The system identification least squares legislation questions code, matlab code
least-square
- 最小二乘法,可根据系统输入输出数据,辨识出系统参数模型!-The least squares method, according to the system input and output data, identify the system parameter model!