搜索资源列表
bianshi
- 本程序是应用最小二乘法对一参考模型进行系统阶次辨识。-this procedure is the least squares method to a reference model for system order literacy.
matlab-bianshi
- 系统辩识在matlab里的应用:输入信号的产生,多种最小二乘的辨识-system identification in the application of Matlab Lane : input signal the emergence of a variety of literacy least squares
XGina_spy
- 此代码透过修改msgina,在下次重启系统后,在windows登入窗口前执行自己的程序,登入后结束程序.一般指纹辨识或防毒软件亦使用此方法取得第一登入优先,请勿使用在不法用途,需执行一次xgina.reg,亦可修改成由程序写入登录文件
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
xitongbianshi-PLS
- 系统辨识PLS程序，最小二乘法辨识系统，一次辨识后对仿真对象和辨识模型进行阶跃响应对比。-System identification PLS program, the method of least squares identification system step response time identification of the the simulation object recognition model comparison.
parameter-identified
- 系统参数辨识，逆M序列生成输入与输出， 根据输入输出辨识系统参数， 模型可带噪声-parameter identified
based-analysis
- 建模与辨识基础 相关分析法中的系统辨识的程序-Modeling and identification based analysis system identification procedures
using-the-least-squares-method-
- 建模与辨识基础 利用最小二乘法进行系统辨识 -Modeling and identification using the least squares method on the basis of system identification
the-generalized-least-squares-
- 建模与辨识基础 利用广义最小二乘法进行系统辨识-Modeling and identification basis using the generalized least squares method for system identification
System-identification
- 系统辨识作业 考虑如下模型 z(k)-1.5z(k-1)+0.7z(k-2)=u(k-1)+0.5u(k-2)+v(k) 其中v(k)是均值为0，方差为1的白噪声。根据模型生成数据，采用递推最小二乘法对模型参数进行辨识，要求绘出各参数随时间的变化曲线。 -"System identification" computer test 。Consider the following model Z (k) to 1.5 of z (k- 1)+ 0.7 z (k- 2) = u (k-
comlents
- 实现了系统辨识的几种典型算法, 该例程有详细的注释和说明-Several typical algorithms for system identification, the routine with detailed comments and instructions,,
chap6
- matlab 的系统辨识程序 是一本书配套的代码-matlab about xitongbians
nlfkk
- PMSM直接转矩控制系统的空间辨识,辨识出系统介次,和状态空间模型(All-digital fuzzy direct torque control system of space identification, identify the system interface, and the state space model)
MATLAB控制系统仿真与实例详解 夏玮
- 用于常见定常系统的辨识和仿真，对于分析系统稳定性具有很大用处(The identification and Simulation of a common constant system is of great use for the analysis of the stability of the system.)
Python_VLPR-master
- 基于树莓派B+版本的车牌识别设计，辨识部分以树莓派3B+/3B为核心处理器，基于Linux平台，通过python3.5和OpenCV来对含有车牌信息的图片，进行高斯去噪、灰度化、边缘检测、二值化、闭操作、字符分割、字符识别匹配等一系列图像处理操作最终实现车牌识别这个系统。(Based on the design of license plate recognition of raspberry pie B+version, the recognition part takes raspberry