搜索资源列表
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
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 sequence as a supplementary s
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 identification and simulation of the sourc
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 identification, documentation* m file
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.
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 = 0.7038, b1 = 1.0476, b2 = 0.4704.
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
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.
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
RLS
- 系统辨识实现已知输入和输出信号，求系统函数的幅频响应等参数-System identification to achieve a known input and output signals, find the system function of parameters such as amplitude-frequency response
prog1
- 本软件主要用于结构的时域试验模态分析，包括单输入单输出，单输入多输出和多输入多输出程序设计。传统的模态分析软件大多是基于频域分析方法，需首先对采样信号进行Fourier 变换。本软件使用实测时域信号，无需Fourier变换，可以避免由于信号截断而引起泄露、出现旁瓣、分辨率低等问题对辨识精度的不利影响。此外，节省了计算机运算时间，可以对实际工况状态下的结构进行在线参数识别。-This software is mainly used for the structure of time-domain
sPso
- 利用粒子群优化算法辨识工业模型，参数设置，和结构辨识-Particle swarm optimization
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
trn_2in
- 模型辨识 模糊神经网络 T-S模型 输入输出 前提参数 结论参数-Model Identification of TS Fuzzy Neural Network model input and output parameters of the premise parameters Conclusion