搜索资源列表
system_identification
- 系统辨识的实验代码,包括产生白噪声程序、各种最小二乘法程序等等,包含所有源代码,用C++写的。-Experimental system identification code, including the generation of white noise process, a variety of least squares procedures, etc., including all source code, using C++ written in.
yang_RBF
- 一种最小二乘法的RBF神经网络,用于对复杂系统的辨识研究-A least squares method of RBF neural network for identification of complex systems research
bianshi
- 利用递推最小二乘法(Rls)的过程模型辨识,-The use of recursive least squares (Rls) the process of model identification,
MATLAB
- 基于MATLAB的最小二乘法参数辨识与仿真-MATLAB based on the least squares parameter identification and simulation
leastsquares
- 1. 一般最小二乘法 3 1.1. 一次计算最小二乘算法 3 1.2. 递推最小二乘算法 3 2. 遗忘因子最小二乘算法 6 2.1. 一次计算法 6 2.2. 递推算法 6 3. 限定记忆最小二乘递推算法 9 4. 偏差补偿最小二乘法 11 5. 增广最小二乘法 13 6. 广义最小二乘法 15 7. 辅助变量法 17 8. 二步法 19 9. 多级最小二乘法 21 10. Yule-Walker辨识算法 23 Matlab程序附录 24
CH3CH4CH6
- 最小二乘法、递推最小二乘法、增广最小二乘法、梯度校正参数辨识-system identification
lsm
- 递推最小二乘法,根据最小二乘法改变,可以辨识参数-LSM
MATLAB_based_parameter_identification_and_simulati
- 基于MATLAB的最小二乘法参数辨识与仿真-MATLAB-based parameter identification and simulation of least squares
fuzzycontrol
- 采用最小二乘法进行系统辨识,本例是一个简短的例程序。-System identification using the least square method, in this case is a short example program.
batchML2
- 递推最小二乘法 系统辨识 参数辨识 matlab仿真-Recursive least squares method
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.)
TLS
- 我们提出了一个MATLAB工具箱,它可以解决与总最小二乘法(TLS)建模相关的基本问题。通过举例说明了如何用TLS方法求解: 线性回归模型 非线性回归模型 三维空间中的拟合数据 动力系统辨识 这个工具箱需要另外两个函数,这些函数已经在MATLAB中央文件交换中发布了。这些功能将被安装到计算机通过配套安装包的requirefexpackage包括TLS包。详情请参阅readme.txt文件。 作者:Ivo Petras,Dagmar Bednarova,Tomas Skovranek,
LSyouse
- 最小二乘辨识方法matlab程序(有色噪声)(Least squares identification method matlab program (colored noise))
matlab编写的增广的最小二乘辨识程序
- matlab曾广最小二乘辨识程序,利用增广最小二乘法编写程序,完成系统辨识(Matlab once wide least square identification program)
基于最小二乘法RBF神经网络MATLAB程序
- 基于最小二乘法RBF神经网络MATLAB程序,采用最小二乘法及RBF神经网络完成系统辨识(RBF neural network MATLAB program based on least square method, using least square method and RBF neural network to complete system identification)
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)
chap3
- 最小二乘系统辨识,以及递推最小二乘辨识,增广最小二乘的实际应用。(The least square system identification, and the recursive least square identification, the application of the augmented least square.)
LSE
- 在电机参数随着系统运行变化时,通过递推最小二乘法在线参数辨识获得实时更新的电气参数,减小系统运行的误差(When the motor parameters change with the system operation, the real-time updated electrical parameters are obtained by the recursive least square method on-line parameter identification, and the er
系统辨识最小二乘法
- 系统辨识最小二乘法,里面有相关的代码和原理
最小二乘法参数拟合
- 运用增广递推最小二乘法对给出模型的参数进行辨识