搜索资源列表
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 fo
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
PRBS_SI
- 系统辨识程序仿真,研究PRBS的周期数和被辨识参数个数的关系,含PPT课件-System identification process simulation to study the PRBS number of cycles and the relationship between the number of parameters were identified, including PPT Courseware
AugmentedLeastSquares
- 增广的最小二乘法源程序,加以改进,可以用于动力电池的电路模型参数辨识,也可以用于超级电容的系统辨识-Augmented Least Squares source code, to be improved, can be used to power batteries of the circuit model parameters identification, super-capacitor can also be used for s
1145
- 直升机气动系统参数辨识-Helicopter pneumatic system parameter identification
RobotParamterDialog
- 本程序是基于VC++开发环境下开发的,主要实现了机器人参数辨识-This procedure is based on VC++ development environment development, the main achievement of the parameter identification of robot
11
- 基于遗传算法的自治水下机器人水动力参数辨识方法-Based on genetic algorithm AUV hydrodynamic parameter identification
xijun
- 本文提出了一种新的基于细菌生存优化(Bacterial Foraging Optimization –BFO)的非线性模型辨识方法。它是利用群集智能仿生BFO算法对一类Hammerstein系统进行辨识,从而估计出它的参数模型-This paper presents a new optimization based on bacterial survival (Bacterial Foraging Optimization-BFO) n
Recursive_maximum_likelihood_parameter_estimation.
- 递推极大似然估计法参数辨识的MATLAB源码-Recursive maximum likelihood estimation MATLAB source parameter identification
Untitled
- 松弛算法:预报误差法参数辨识。刘辉,系统辨识-Untitled
system_identification_RELS001
- 系统参数辨识,用增广最小二乘算法实现。对书中的程序进行了改进:由于噪声是未知的,虽然我们模拟了系统的随机白噪声,但进行辨识时必须对噪声进行估计,见程序45行和53行。-System parameter identification, with the extended least squares algorithm. Procedures for improving the book: Because the noise is unkn
chengxu--c
- 该程序可以对公共分母极点模型进行参数辨识,对无噪声仿真模型可以使用-Common denominator of the program can identify the pole model parameters, the simulation model can be used without the noise
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
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
Parameter-identification
- 使用matalb软件,利用递推阻尼最小二乘法进行参数辨识,并改变噪声的强度,即 a*ξ(t)(0<a<1),分析、比较一般递推最小二乘和递推阻尼最小二乘方法的优缺点 ;-Use matalb software, the use of recursive damped least square method for parameter identification, and change the intensity of no