matlab-design

老师教我的滑模变结构matlab仿真程序的几个例子，该程序易读，易移植(Teaching my sliding mode a few examples of matlab simulation program, the program to read, easy to transplant)

1、系统仅处于训练状态。训练序列为2cos(2π×f1×n/fs)， 干扰为sin(2π×f2×n/fs)；序列长度为100个样点。 其中n=0…99，f1=1kHz，f2=2kHz，fs=8kHz。 2、采用LMS算法，均衡器输入为训练序列加上干扰，均衡器阶数为21阶，步长因子β=0.01。 3、在Matlab中编写浮点LMS算法，绘制均衡器的输出波形，并与训练序列进行对比。 (1, the system only in the training status. The training sequence is 2cos (2πf1n/fs), interference sin (2πf2n/fs) sequence length of 100 samples. Where n = 0 ... 99, f1 = 1kHz, f2 = 2kHz, fs = 8kHz. 2, using LMS algorithm, the input to the equalizer training sequence plus interference equalizer order is 21 bands, step factor β = 0.01. 3, the preparation of the floating-point LMS algorithm in Matlab, draw the output waveform equalizer, and with the training sequence comparison.)

说明：  matlab程序，用于对差分方程进行参数辨识，获得参数数值(Matlab program is used to identify the parameters of the difference equation and obtain the parameter values)

对偶复树小波以及去噪， 包含1维二维三维的程序实现(Dual tree complex wavelet and the noise, including the one-dimensional two-dimensional three-dimensional program)

MUSIC算法原理及其Matlab仿真.设有m个阵元，p个信号源，x(n)为观测数据,令其特征值分解,然后把特征矩阵U的列向量分为信号特征向量和噪声特征向量(MUSIC Algorithm and its Matlab simulation. With one array element m, p a signal, x (n) for the observed data, so that it eigenvalue decomposition, and then the column vector of characteristic matrix U eigenvectors into signal and noise characteristics vector)

空间机械臂动力学建模，力与位置协调控制，并用了pid控制算法仿真，(pace manipulator, direct path method, Lagrangian formulation, hybrid force/position control)

基于matlab，电力系统最优潮流问题，注释详尽(Based on matlab, optimal power flow problem, detailed comments)

两种LFM脉冲压缩技术，第一种技术广泛用于窄带和中等宽带的雷达工作(The two LFM pulse compression technology, a technology widely used in narrowband and medium-wideband radar)

提取目标位置参考点和目标匹配模板；使用基于区域特征的运动目标跟踪算法获取目标位置（像素) (Extraction of target location and target reference points match template use region-based feature tracking algorithm for moving object target location (pixels))

Motor control source