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说明：  清华大学出版社的《MATLAB控制系统应用与实例》模糊预测源码(Tsinghua University Press &quot MATLAB control system applications and examples of&quot fuzzy predictive source)

Fichier Simulink décrivant une MPU (memory protection unit)

用matlab实现画彩色花朵的动画，对初学matlab的同学能有帮助。(Using matlab to achieve colored flowers painted animation, matlab for beginner students can help.)

Matlab C++ BOOK Matlab C++ BOOK Matlab C++ BOOK Matlab C++ BOOK Matlab C++ BOOK Matlab C++ BOOK Matlab C++ BOOK

说明：  本文实现了在连续视频数据流中几种不同的运动检测算法，他们都是基于当前帧图像和前一帧图像的比较，程序使用了AForge.NET framework库。其中的示例代码支持下面几种视频格式：AVI文件、网路相机的JPEG和MJPEG，本地的采集设备(USB相机等)。(This article implements a continuous video data stream in several different motion detection algorithms, they are based on the current frame and previous frame image comparison, the program uses the AForge.NET framework library. Sample code which supports the following video format: AVI file, network camera JPEG and MJPEG, the local collection devices (USB cameras, etc.).)

电动汽车燃料电池simulink仿真模型，用于电动汽车或者混合动力汽车的仿真模型(Simulink simulation model of the electric vehicles fuel cells for electric vehicle or hybrid vehicle simulation model)

说明：  burg算法对现代谱进行估计伯格算法（burg algorithm)一种直接由已知的时间信号序列计算功率谱估计值的递推算法。由于是J．P·伯格提出的，故得名伯格算法。(Burg algorithm is a recursive algorithm which can calculate the power spectrum estimation directly from the known time signal sequence. Because it is proposed by J.P. Berg, it is named Berger algorithm.)

将输入d进行扩张，方法是在d的每个数据中插入M-1个零值。 如输入d=[1,2,3,4] M=3 输出out=[1 0 0 2 0 0 3 0 0 4 0 0](To expand the input d, the method is to insert each data d, M-1 zero value. If the input d = [1,2,3,4] M = 3 output out = [1 0 0 2 0 0 3 0 0 4 0 0])

数字图像处理技术 中图像增强方法中的 线性变换方法 基于 matlab 实现(Digital image processing technology in image enhancement method based on linear transformation method matlab realize)

单级倒立摆二级倒立摆simulink model and mutiple control aglorithms Full order observer Full order observer with Kalman filter Poleß Placement method LQR optimization(Single-stage inverted pendulum inverted pendulum simulink model and mutiple control aglorithms Full order observer Full order observer with Kalman filter Poleß Placement method LQR optimization)