petri-net-matlab-simulate

Based on mathematical and physical model to get the simulated I-V curve

基于动态切换函数的动态滑模控制，二阶系统仿真(Dynamic sliding mode control based on dynamic switching function，The second order system simulation)

针对均匀线形阵列的阵列波束综合问题，并把这一问题描述成一个凸优化问题。针对更普适的情况。 (For array pattern synthesis problem, and describe it as a convex optimization problem.)

power wind generation

本程序主要仿真MIMO系统的ZF以及MMSE算法，在不同信噪比下的误码率。(This program mainly ZF and MMSE algorithm of multi-input multi-output (MIMO) system simulation, under different SNR ber.)

mpsk的matlab仿真实现 ,供初学者使用参考(MPSK Simulation of matlab for beginners to use reference)

matlab例程，非常好用，便以移植,bianyuxuxi(susan Algorithm is very easy to use, then to transplant)

MATLAB课件 是比较好的一份MATLAB课件 很细很详细(MATLAB software)

IEEE 33-bus with pq loads in psat format using simulink

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.)