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mzxec.rar
- 递推格式的最小二乘法参数辨识算法matlab语言设计与实现,Recursive least squares format parameter identification algorithm matlab language design and implementation
Systemidentificationlscode
- 渐消记忆增广最小二乘法的源代码,用于参数辨识。-Augmented fading memory least-squares
lsm
- 递推最小二乘法,根据最小二乘法改变,可以辨识参数-LSM
First_Order
- 应用最小二乘法对一阶系统进行辨识,得到相应的参数-Least square method the first order system identification, the corresponding parameters
Second_Order
- 应用最小二乘法对二阶系统进行辨识,得到相关参数-Application of least squares, second order system identification, are relevant parameters
Identifi-cation-of-Inducti-on-Motors
- 为减小感应电机转动惯量对机械特性的影响 ,基于最小二乘法 ,引入开关控制器 ,构建了一种新 型的最小二乘参数辨识器 -To reduce the infl uence tha t the vari ai on of the inertiato the mechani cal characteristics of induction moto r , a new identifier based on the Recursive L eat Square salgorithm is propo
FFRLS
- 这是一个遗忘因子递推最小二乘法的辨识程序,可辨识系统参数。-This is a forgotten factor recursive least square mathod to identify the system parameters.
Hammerstein-RLS
- 这是Hammerstein系统加输入死区的递推增广最小二乘法参数辨识程序,可以运行。-This is a plus input recursion system Hammerstein dead Augmented least squares method parameter identification program can be run.
基于matlab AR模型的最小二乘法实现
- 基于matlab AR模型的最小二乘法实现参数辨识,加上Word配合理解,相信你理解的会更快的。(Matlab AR model based on the least squares method to achieve parameter identification, coupled with Word understanding, I believe you will understand faster.)
bianshi
- 递推最小二乘法辨识参数 MATLAB例程(Recursive least square method to identify parameters)
code
- 对于单输入单输出的系统(Single input single output,SISO)常采用最小二乘方法辨识系统的参数。最小二乘参数估计是一个经典的方法,概念简明,适应范围广,来源于数理统计的回归分析,它能提供一个在最小方差意义上与实验数据最好拟合的模型,在一些情况下,可得到与极大似然法一样好的统计效果,并能很方便地与其它辨识算法建立关系。在一定条件下,最小二乘法参数估计法有最佳的统计特性,即一致的、无偏的和有效的结果。本代码主要关于使用递推最小二乘辨识方法与增广最小二乘辨识方法辨识模型参数,
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)
Maybethisone
- 系统辨识,根据最小二乘法,辨识出系统参数,达到优化参数的效果。(.System identification, according to the least squares method, identify the system parameters, to achieve the effect of optimization parameters)
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)
classical PI model
- 使用一般PI模型拟合非线性曲线,最小二乘法参数辨识,逆模型前馈(The general PI model is used to fit the nonlinear curve, the least square parameter identification, and the inverse model feedforward.)
PI实现
- 基于改进的PI模型对非线性曲线进行拟合,二次寻优算法进行参数辨识,用逆模型前馈补偿(classical PI modeling)
1
- 最小二乘法的系统参数辨识函数,可以辨识任意的线性函数,效果比其他的一般的最小二乘法好(The system parameter identification function of least squares method can identify any linear function, and the effect is better than other ordinary least squares method.)
PMSMidentRLS
- 基于最小二乘法的永磁同步电机在线参数辨识MATLAB仿真模型,辨识电机电阻、电感和永磁磁链,精度较高。(MATLAB simulation model of on-line parameter identification of permanent magnet synchronous motor based on least square method identifies resistance, inductance and permanent magnet flux linkage of
zuixiaoercheng
- 两种对二阶系统进行参数辨识的最小二乘算法,一种可以直接得到输入输出之间的传递函数,一种可以解出线性的差分方程各系数,再反解得到传递函数。附带的一个二阶系统的模型,可以自行下载导入输入输出数据进行试验。(Two kinds of least square algorithm for parameter identification of second-order system, one can directly get the transfer function between input and
参数辨识
- 使用最小二乘法对永磁同步电机进行参数辨识,在simulink中搭建了永磁同步电机模型,然后使用s函数写了最小二乘法。(Use the least square method to identify the parameters of the permanent magnet synchronous motor, build a permanent magnet synchronous motor model in simulink, and then use the s function to