CHAPTER8

说明：  使用动态矩阵预测控制模型对蒸发换热器进行控制(DMC heatexchanger)

温度控制的simulink仿真程序，可以运行(simulink)

已经经过测试，实现CMA盲均衡的功能，对学习还是很有帮助的(Has been tested, CMA blind equalization function, learning or helpful)

对压力脉动数据进行频谱分析的matlab源码文件。 可绘制时域图和频域图，可自动保存图片。(spectrum analysis)

车辆间通过协作进行消息发送的matlab仿真，车辆间采用联合博弈论机制进行消息共享(Between vehicle matlab simulation messages sent through collaboration, joint inter-vehicle use game theory message sharing mechanism)

说明：  这是一个运用MATLAB进行车牌号识别的例子，同时附带很多代识别的图片。(This is a license plate number recognition using MATLAB for example, while many generations identified with the picture.)

四阶龙格库塔公式代码 控制水箱的程序，方便简单(Fourth-order Runge-Kutta formula code control tank program, convenient and simple)

Matlab simulation for Fuzzy control(tool box), Inverted pendulum Document

Relief算法中特征和类别的相关性是基于特征对近距离样本的区分能力。算法从训练集D中选择一个样本R，然后从和R同类的样本中寻找最近邻样本H，称为Near Hit，从和R不同类的样本中寻找最近样本M，称为Near Miss，根据以下规则更新每个特征的权重： 如果R和Near Hit在某个特征上的距离小于R和Near Miss上的距离，则说明该特征对区分同类和不同类的最近邻是有益的，则增加该特征的权重；反之，如果R和Near Hit在某个特征上的距离大于R和Near Miss上的距离，则说明该特征对区分同类和不同类的最近邻起负面作用，则降低该特征的权重。(The correlation between feature and category in Relief algorithm is based on distinguishing ability of feature to close sample. The algorithm selects a sample R from the training set D, and then searches for the nearest neighbor sample H from the samples of the same R, called Near Hit, and searches for the nearest sample M from the sample of the R dissimilar, called the Near Miss, and updates the weight of each feature according to the following rules: If the distance between R and Near Hit on a certain feature is less than the distance between R and Near Miss, it shows that the feature is beneficial to the nearest neighbor of the same kind and dissimilar, and increases the weight of the feature; conversely, if the distance between R and Near Hit is greater than the distance on R and Near Miss, the feature is the same. The negative effect of nearest neighbor between class and different kind reduces the weight of the feature.)

IEEE Papers on power electronivs Dec