fuzzy-control-bilinear-systems

小波包能量代码，利用db1小波将信号分解和重构，然后计算小波系数的平方，进行正则化(Wavelet packet energy code, the use db1 wavelet signal decomposition and reconstruction, and then calculate the square of wavelet coefficients, the regularization)

说明：  mclt变换的源程序,希望对大家有帮助,是我自己编写的!(Transform mclt source, we would like to help)

Lorenz方程具体内容及其求解代码，使用oed45求解，可直接在matlab中使用，并可以绘制吸引子图(Lorenz Equations and solver)

This is satellite flight software This is satellite attitude control system software

人脸的面部特征提取，有很好的效果，直接解压就可以使用(Face facial feature extraction, have very good effect, direct decompression can use )

关于MATLAB与双馈风机接口计算智能算法(About MATLAB and DFIG computational intelligence algorithms Interface)

光伏电池阵列输出功率受光照强度和温度变化的影响，因此最大功率点跟踪（MPPT）技术广泛应用于光伏系统中。在所有最大功率点(MPP)控制策略中，扰动观察（P&O）MPPT算法因易实现被广泛应用，然而它的缺点是在稳定工作状态下工作点通过MPP 时会导致能量振荡损耗，并且在光照强度或温度发生突变时表现较差的动态响应。在本文中，提出一种改进型变步长扰动观察MPPT 算法，此方法依据工作点动态调整步长变化，与传统固定步长方法比较，本文提出的方法能有效地提高MPPT 速度和转换效率，通过仿真和实验结果分析，验证了此改进算法的可行性。(PV array output power by light intensity and temperature changes, so the maximum power point tracking (MPPT) technology is widely used in photovoltaic systems. In all the maximum power point (MPP) control strategy, the perturbation and observation (P & O) MPPT algorithm because easy to implement is widely used, but its disadvantage is the steady-state operating point by the MPP causes energy oscillations loss, and in the light intensity or temperature mutated poor performance dynamic response. In this paper, we propose a modified variable step size perturbation and observation MPPT algorithm, this method is based on dynamically adjusting the operating point changes in steps, with the traditional fixed-step methods, the proposed method can effectively improve the speed and efficiency MPPT, The simulation and experimental results verify the feasibility of this algorithm.)

根据15个星历参数计算卫星地心地固坐标系下的速度，位置（6个开普勒轨道参数，9个摄动参数）(compute satellite postion)

自己写的一个klman滤波对匀速直线运动物体进行目标跟踪的程序!(himself wrote a klman filter for CV objects target tracking procedures!)

双线性插值 双线性插值 双线性插值 双线性插值(bilinear_interpolate)