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tion
- 最小二乘辨识模型的隔离型数字按时计的开发-Least Square identification model of the isolated development of digital time meter
system-identification
- 系统辨识用matlab产生M序列，移位寄存器实现-System identification using matlab generate M sequence, the shift registers
xitongbianshi257
- 这是关于系统辨识与建模技术的仿真，值得初学者学习讨论-This is the system identification and modeling on the simulation, it is worth discussing for beginners
xiangguanfabianshi
- 利用M序列作输入估计脉冲响应值，完成对连续和离散系统传递函数参数的辨识-Use of M sequence as the input impulse response estimated value to complete the continuous and discrete transfer function parameter identification
16443203
- 基于matlab的过程辨识，内含多个文件，包括辨识的相关知识。-process identification Based on the matlab，containing multiple files, including identification of relevant knowledge.
xi5
- 阻尼递推最小二乘法,用于系统辨识，效果良好-Damped least square method, used for system identification, the effect is good
RLS
- 递推最小二乘算法，用matlab实现递推最小二乘参数辨识-recursive least square
xitongbianshi
- 这是一个系统辨识例子，通过该例子可以深入理解系统辨识的相关知识及MATLAB编程-This is an example of system identification, through the example of system identification can be in-depth understanding and knowledge of MATLAB programming
sPso_Samp1NoNoise
- 在不加噪声的情况下利用PSO（粒子群算法）辨识NARMAX模型-In the case without noise, using PSO (PSO) model identification NARMAX
sPso_Samp1WithNoise
- 在加噪声的情况下，利用pso（粒子群算法）辨识NARMAX模型(实例一）-In the case of additive noise, the use of pso (PSO) identify NARMAX model (Example I)
sBfo_Samp1NoNoise
- 在不加噪声的情况下，利用细菌觅食优化算法（BFA)辨识NARMAX模型-In the case without noise, the use of bacterial foraging algorithm (BFA) Identification NARMAX model
sBfo_Samp1WithNoise
- 在加噪声的情况下，利用细菌觅食优化算法（BFA）辨识NARMAX模型-In the case of additive noise, the use of bacterial foraging algorithm (BFA) Identification NARMAX model
nnesysid20
- 人工神经网络系统辨识工具箱（其中包括一些demo）----神经网络机器人视觉伺服。-Artificial neural network system identification toolbox (including some demo )---- neural network robot visual servo.
work5
- 增广最小二乘递推算法辨识程序，实用的系统辨识算法。-Augmented RLS identification procedures, practical system identification algorithm.
work1
- 最小二乘递推算法辨识程序, 输入信号为M序列，系统辨识常用的算法-RLS identification process, the input signal for the M series, system identification algorithm used
work2
- 最小二乘递推算法辨识程序, 输入信号为正态分布白噪声 -RLS identification procedures for the normal white noise input signal
work3
- 系统辨识里面的梯度校正参数辨识方法，实用的系统辨识算法-System identification inside the gradient correction parameter identification methods, practical system identification algorithm
work6
- 极大似然算法辨识程序, 系统辨识里面常用的辨识方法-Maximum likelihood algorithm for identification procedures, system identification methods which identification of common
zhenzhengdefuzhusheji
- 系统辨识方面的程序，主要是根据输入和输出信号进行参数的确认-Aspects of system identification procedures, mainly based on the input and output signal parameters of the recognition
Untitled7
- 系统辨识函数的介绍，包括最小二乘法，和辅助变量法-Introduction to system identification function, including the least squares method, and the instrumental variable method