搜索资源列表
structIdentification.rar
- 系统辨识中,在matlab中,利用hankel矩阵进行模型阶次的识别
matlab_sys_inf
- 系统辨识的输入信号为一个周期的M序列,从 中分离出并显示a1 、a2、 b1、 b2,画出输出观测值z的经线图形,并显示坐标网格-system identification of the input signal for a period of the M sequence, isolated from the show and a1, a2, b1, b2, paint output observation z warp graphics, and display Grid
FLch5RMLeg2
- 用matlab仿真的递推极大似然法辨识程序,可用来进行系统辨识,很好用-simulation using Matlab Recursive maximum likelihood method identification procedures, which can be used for system identification, good use
C语言科学计算源代码
- 主要用于数字仿真方面的代码,可以供做控制,系统辨识等方面的朋友参考。-mainly for the digital simulation code can be done for control, system identification, such as a friend of reference.
19.NLJforsystemidentfition
- NLJ优化算法用于系统辨识程序,对于学习系统辨识与建模很有用-PID algorithm for the optimization of system identification procedures for identification and Learning System Modeling useful
17identfitionbothforsrutctureandparament
- 可用于同时辨识模型阶次和参数,对于系统辨识和数学建模很重要。-also can be used for identification model order and parameters for system identification and mathematical modeling is very important.
amethodforidentification
- 递推的极大似然法辨识程序 用递推的极大似然法对系统辨识的参数集 -recurrence of maximum likelihood method recursive identification procedures used by maximum likelihood method of system identification parameter sets
RWLS
- 用matlab编写的一个程序,实现系统辨识中的最小二乘递推算法,有运行结果和图形.-using Matlab a procedure for the preparation, system identification achieve the recursive least squares algorithm, running results and graphics.
6M
- matlab在系统辨识中的应用: 利用六级移位寄存器产生的M序列-Matlab system identification in the application : 6 shift register sequence of the M
simulation
- 这是一个模型系统辨识的源代码,可以确定过程系统的参数。-This is a model system for identification of source code, the system can confirm process parameters.
PImodel
- 这是一个有关PI模型系统辨识的MATLAB程序,并附有MATLAB仿真30个案例以便于学习(This is a PI model identification program)
function
- 对未知模型系统的输入输出经行系统传递函数的辨识,(Identification of the input and output system transfer function for the input and output of the model)
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)
G11
- PSO粒子群算法,找到常减压装置传递函数,simulink搭建模型,辨识常减压装置传递函数参数(PSO identification of the transfer function parameters of the atmospheric and vacuum distillation unit)
1
- 最小二乘法的系统参数辨识函数,可以辨识任意的线性函数,效果比其他的一般的最小二乘法好(The system parameter identification function of least squares method can identify any linear function, and the effect is better than other ordinary least squares method.)
最小二乘
- 最小二乘法进行参数辨识,主要在系统辨识方面应用。(Least square method for parameter identification)
多变量系统辨识
- 递归最小二乘法辨识,自己写的,一般线性系统都可以辨识出来
系统建模
- 1.批量最小二乘法算法(也称最小二乘的一次性完成辨识算法) 2.递推最小二乘法算法,应用递推算法对参数估计值进行不断修正,以取得更为准确的参数估计值。 3.粒子群算法(PSO)。粒子群优化算法的基本思想:是通过群体中个体之间的协作和信息共享来寻找最优解.PSO的优点在于简单容易实现并且没有许多参数的调节。 4.BP神经网络,各个神经元仅接收来自前一级的输出,经神经元处理后的信息将输出至下一级,网络中没有反馈,即前一级神经元不会接受后一级神经元的输出。 water tank是原始数据(双容
子空间辨识
- 基本的子空间辨识程序,先求解系统矩阵A、B,再求C、D(In the basic subspace identification procedure, the system matrices A and B are solved first, and then C and D are obtained)
机器人动力学参数辨识
- 一些机器人系统辨识的matlab程序,好像配的是刘金琨那本机器人控制书(Some of the robot system identification matlab program, seems to be equipped with Liu Jinkun's robot control book)