MRAC-Adaptive-2010

说明：  软件管理课程的前三章介绍，主要讲了一些模型，并进行分析(ruanjianguanglikechengdeqiansanzhangjieshao,zhuyaojiangleyixiemoxing,bingjinxingfenxi)

说明：  统计学的一些简单的小程序,希望大家可以帮忙改以下(statistically small number of simple procedures in the hope that we can help with the following)

用于混沌时间预测与分析，经调试，可以运行(Used for prediction and analysis of chaotic time, debugging, you can run)

说明：  详细介绍 小型风力发电 系统设计 国外参考资料 附录有 详细硬件设计 比较经典(Details small wind power system the design foreign References Appendix hardware design classic)

利用潮位数据计算理论深度基准面，其中各分潮系数需修改(Calculating theoretical depth datum using tidal data)

说明：  基于扰动观察法的mppt算法，用m函数编写，光伏板接boost电路(The mppt algorithm based on the disturbance observation method is written by the m function, and the photovoltaic board is connected to the boost circuit.)

说明：  ％极大似然方法 gcn为高斯有色噪声！！！比较不同点( Maximum likelihood method for Gaussian colored noise GCN! ! ! Compare different points)

多个神经元分类，又称模式联想。对如下输入、输出样本进行分类。要求用MATLAB画出最后的线形图。 p=[0.1 0.7 0.8 0.8 1.0 0.3 0.0 -0.3 -0.5 -1.5 1.2 1.8 1.6 0.6 0.8 0.5 0.2 0.8 -1.5 -1.3] t=[1 1 1 0 0 1 1 1 0 0 0 0 0 0 0 1 1 1 1 1](Multiple neurons classification, lenovo is also called the mode.Classify the following input and output sample.The last line diagram to use MATLAB to draw. p=[0.1 0.7 0.8 0.8 1.0 0.3 0.0-0.3-0.5-1.5 1.2 1.8 1.6 0.6 0.8 0.5 0.2 0.8-1.5-1.3] t=[1 1 1 0 0 1 1 1 0 0 0 0 0 0 0 1 1 1 1 1])

在一本书上看到一个用实数编码遗传算法求函数极大值(See a real-coded genetic algorithm with demand function maxima in a book)

数学方法是部分子空间法，关于小波的matlab复合分析，结合PCA的尺度不变特征变换(SIFT)算法，解耦，恢复原信号。( Mathematics is part of the subspace, Matlab wavelet analysis on complex, Combined with PCA scale invariant feature transform (SIFT) algorithm, Decoupling, restore the original signal.)