UPFCModel2

MATLAB经典算法程序,包括：数据分析，方程(组)解法，插值、拟合、规划问题，绘图等功能 (Classical algorithm MATLAB program, including: data analysis, equation (group) method, interpolation, fitting, planning, mapping and other functions)

车辆号码的自动检索分析，基于Simulink的车牌识别系统仿真平台.(Vehicle numbers automatically retrieve analysis, license plate recognition system based on Simulink simulation platform.)

This is the matlab file of a ball tracking robo using color identification

recursive Depth first search is adopted to traverse the whole graph

matlab code for Image overlay

说明：  最速下降法是迭代法的一种,可以用于求解最小二乘问题(线性和非线性都可以)。在求解机器学习算法的模型参数，即无约束优化问题时，梯度下降（Gradient Descent）是最常采用的方法之一，另一种常用的方法是最小二乘法。在求解损失函数的最小值时，可以通过梯度下降法来一步步的迭代求解，得到最小化的损失函数和模型参数值。反过来，如果我们需要求解损失函数的最大值，这时就需要用梯度上升法来迭代了。在机器学习中，基于基本的梯度下降法发展了两种梯度下降方法，分别为随机梯度下降法和批量梯度下降法。(The steepest descent method is a kind of iterative method, which can be used to solve the least squares problem (both linear and nonlinear). In solving the model parameters of machine learning algorithm, that is, unconstrained optimization, gradient descent is one of the most commonly used methods, and the other is the least square method. When solving the minimum value of loss function, the gradient descent method can be used step by step to get the minimum value of loss function and model parameters. Conversely, if we need to solve the maximum value of the loss function, then we need to use the gradient rise method to iterate. In machine learning, two kinds of ladders are developed based on the basic gradient descent method)

模糊滑模控制实例 让你更了解模糊滑模控制器设计(Fuzzy Sliding Mode Control instances more about fuzzy sliding mode controller design)

AE开发，InterSect操作AE开发，InterSect操作AE开发，InterSect操作AE开发，InterSect操作(ArcEngine for intersect tool)

用matlab编写的HDB3码 对于初学信息论编码的同学很有益处(HDB3 code matlab prepared students for the the beginner information theory coding helpful)

在simulink软件平台下搭建对系统温度实现策略控制的模型(Based on the Simulink software platform, we build a model to control the system temperature.)