搜索资源列表
generate_datas_oil
- 生成oil价格仿真数据，用于模型辨识，参数辨识的验证-Oil prices to generate simulation data for model identification, parameter identification verification
ftest
- 遗忘因子法辨识系统参数，直接可以允许的ＭＡＴＬＡＢ程序-Forgetting factor method to identify the system parameters can be allowed to direct the MATLAB program
simultaneity
- 同时辨识模型阶次及参数算法。用阶次递推算法，结合AIC法——利用赤池信息准则辨识上例的模型阶次和参数。-At the same time identify model order and parameters algorithm. By order recursive algorithm, combined with AIC method- the use of Akaike information criterion to ident
tituiminTWOmul
- 递推广义最小二乘法,主要应用于系统辨识,按照给定的递推方程辨识参数-Recursive generalized least squares method, mainly used in system identification, in accordance with the given recursive equation to identify the parameters
olsmatlab
- 最小二乘法的Matlab参数辨识程序（含实例）-Matlab least squares method of parameter identification procedures (including examples)
mianyi
- 免疫算法,用于参数优化和系统辨识等,希望对大家有用!-Immune algorithm for parameter optimization and system identification, so that useful for all of us!
fun
- 在MATLAB下，利用阻尼递推最小二阶乘原理，对一个控制系统进行参数辨识。-In MATLAB using the smallest damping recursive factorial two principles, of a control system parameter identification.
MSLS
- MSLSⅠ多步递推最小二乘法 Msls分三步对系统和噪声模型进行辨识，采用脉冲序列作为辅助系统模型，用计算输出数据；用原输出数据计算,用递推最小二乘方法分别对系统参数和模型参数进行估计。 -MSLS Ⅰ recursive least squares multi-step Msls three steps on the system and noise model identification, the use of pulse
LMS
- 简单的最小二乘逼近算法，用于系统辨识，方便修改噪声参数和系统参数，为系统辨识和仿真作业的源代码。-Simple least-squares approximation algorithm for system identification to facilitate the modification of system parameters and noise parameters for the system identificati
jidashirandituicanshuguji
- v(k)随机信号，输入信号为幅值为M序列程序.利用极大似然递推进行参数辨识，文件的*m文件，可以直接运行，能直接辨识出参数，绘制误差曲线等，程序中带有详细注释。-v (k) random signal, the input signal amplitude for the M series for the process. the use of recursive maximum likelihood parameter identif
systemidentify
- 系统辨识源码，包含参数模型辨识算法程序和非参数模型辨识算法程序。-Source system identification, model identification algorithm contains parameters of procedures and non-parametric procedures for model identification algorithm.
RLS
- 系统辨识，最小二乘递推算法，可以在线辨识，实时进行参数辨识-System Identification,Recursive Least Squares Algorithm
2
- 此算法为最小二乘参数估计的递推算法。运行后得到辨识参数：a1= -1.4981, a2= 0.7038, b1= 1.0476, b2= 0.4704。-The algorithm for the recursive least squares parameter estimation algorithm. After operation to identify the parameters: a1 =-1.4981, a2 = 0.7
Matlab_Synthesis
- 采用Prony方法由冲击响应辨识连续时间系统的传递函数和 时间序列分析，采用Levinson算法估计AR模型的参数-prony levinson
matlab
- 三参数模型 系统辨识 自己编写的通过了测试，并写了论文-The three-parameter model system identification adopted their own written
dmle
- 递推极大似然法求解系统辨识参数（matlab）-Maximum Likelihood Estimation
levy
- 用LEVY法对系统进行参数辨识，利用实频响应与虚频特性来估计过程的传函。-LEVY method using the system parameter identification, the use of real and imaginary frequency characteristics of frequency response to estimate the process of transfer function.
RELS
- 增广最小二乘法参数估计，系统辨识，针对含有输出噪声的SISO模型。-Augmented least squares parameter estimation, system identification, aimed at containing the output noise of the SISO model.
CHAP5_4
- 此代码为基于遗传算法摩擦模型参数辨识的PID控制MATLAB仿真代码-This code is based on genetic algorithm for parameter identification of friction model simulation of PID control of MATLAB code
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