aybook.cn_matltxclhs1128

解析法建立挤压油膜阻尼器稳态数学模型并仿真特性关系(Analytical method SFD to establish steady-state characteristics of the mathematical model and simulation relations)

matlab求转子系统的临界转速程序源代码(Critical Speed)

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.)

用Matlab实现的多种基于阈值的图像分割方法，含有大津法，最大熵，聚类等方法(Using Matlab to achieve a variety of threshold-based image segmentation method, which contains Otsu method, maximum entropy, clustering and other methods)

LDPC matlab code for demonstration purpose

一种自反馈应用的例子，用于机器人等的控制(An example of a self feedback application)

该文件为一个仿射非线性系统控制Matlab_simulink仿真，其中包含完全精确线性化和局部精确线性化的仿真模型，还有word实验报告，涉及非线性控制的同学可以参看一下(The file is a system control Matlab_simulink affine nonlinear simulation, which includes completely accurate linear and precise partial linearization simulation model, as well as word lab reports, involving nonlinear control students can see what)

该算法为基于克隆选择原理的人工免疫算法。算法有三部分，第一部分为传统的遗传算法，第二部分CSA算法，两方法对一些函数求极值，可比较各自的特点。(The algorithm is based on the principle of artificial immune clonal selection algorithm. Algorithm has three parts, the first part of the traditional genetic algorithm, the second part of the CSA algorithm, two methods for some function extreme, can compare their characteristics.)

用采取CT模型，利用matlab实现机动目标跟踪，(With the CT model to use matlab to achieve maneuvering target tracking,)

基于CKF的多模型滤波的英文文献及其代码，能够正确运行。是学习滤波及目标跟踪的好资料。(CKF based on Multiple Model Filtering in English literature and code, to run correctly. Learning and target tracking filter good information.)