Lyapunov_MATLAB

说明：  该代码利用复化辛普深公式求给定函数的数值积分，已知该函数的等分区间。(The code deep with Combined Formula Simpson numerical integration of a given function, the function of the decile range is known.)

基于非线性扩展卡尔曼滤波的Matlab程序(The extended Kalman filter can not only estimate states of nonlinear dynamic systems from noisy measurements but also can be used to estimate parameters of a nonlinear system. A direct application of parameter estimation is to train artificial neural networks. This function and an embeded example shows a way how this can be done.)

APF的模型，采样ip-iq法进行谐波提取，PI控制作为补偿算法，三电平spwm作为调制方式，在网侧添加了LCL滤波，个人感觉效果还不错，准备再添加重复控制，在谐波提取方面采样DFT来尝试(APF model, sampling ip-iq method for harmonic extraction, PI control as compensation algorithms, three-level spwm as modulation, the network side added a LCL filter, the effect of personal feeling good, ready to add a duplicate control, in harmony wavelet extraction areas to try sampling DFT)

A simulink model for chaotic Gyrostat system

RBF方法对一维函数进行插值实例，选用的函数为MQ函数，可与高阶多项式插值对比，说明RBF方法克服了龙格振荡问题。(RBF method for one dimentional function interpolation, where the Runge oscillation is disappear.)

小波和希尔伯特两种算法对同一个信号进行处理后的比较，(It is about the wt and hilbert transform for the same signal)

DFIG induction fake model for fun

智能控制，智能优化，刘金坤，很多的应用程序，机器人控制的好好学学。(intellgent control and design,liujinkun many demos,especially in robotic control)

使用matlab的小波分解和重建函数对24位的ADC采样数据进行小波变换和去噪，去噪使用阈值算法，阈值的选取具体使用了6种方法进行对比，对于不同信号其效果是不同的！把去噪后的信号和原始信号放在一个图中，使用不同颜色的曲线进行对比，效果可以很直观的表现。(Using matlab wavelet decomposition and reconstruction of the function for 24-bit ADC sampling data wavelet transform and denoising, denoising using the threshold algorithm, the threshold selecting specific methods used six kinds of contrast, the effect for different signals is different The! After the denoising signal and the original signal on a map using different colors to compare curves, the effect can be very intuitive performance.)

说明：  关于脉冲压缩的问题 。脉冲压缩的质量直接 影响雷达的探测性能。经典的脉冲压缩是通过匹 配滤波器来实现的[1 ] 。从本质上讲 ,脉冲压缩是对 发射信号的匹配滤波 ,但由于不同的目标回波信 号带有不同的多普勒信息 ,具有不确定性 ,所以它 只能是准匹配滤波(Pulse compression on the issue. Direct impact on the quality of pulse compression radar detection performance. Classical matched filter pulse compression is achieved by [1]. In essence, the pulse compression is a matched filtering the transmitted signal, but the different echo signals with different Doppler information is uncertain, it can only be quasi-matched filter)