Simulink

DOST extraction code

本书为MATLAB环境下的simulink电子通信仿真与应用，对simulink初学者有很大的帮助(This book is MATLAB simulink environment simulation and application of electronic communication, on the simulink of great help for beginners)

MATLAB buck pwm 用pwm的控制方式实现buck电路(MATLAB buck pwm control method used to achieve buck pwm circuit)

介绍了MATLAB下控制无刷直流电机 采用闭环控制 各模块讲解比较详细(MATLAB introduced under the control of brushless DC motor closed-loop control of each module to explain in more detail)

说明：  控制对象P=s/s*s-1，设计了一个在D域（s:Res<-2）稳定的所有控制器C(Control object is P = s/s* s-1, designed all controllers C are stable in D filde(s:Res<-2))

迭代学习控制入门实例,初学者很容易上手，是单输入但输出系统(Iterative Learning Control Starter instance, it is easy for beginners to get started)

渡口模型，系统模拟仿真，排队论，任意输入船道数和模拟次数，输出平均车辆数和各车辆类型数量(Ferry model, system simulation, queuing theory, any input channel number and the number of simulations ship, the output of the average number of vehicles and the number of vehicle types)

Floating point display with precision, emin and emax and precision

最先提出深度学习算法hinton的自动编码器matlab代码，内容是：利用多层rbm进行自动编码的多层特征训练，然后使用梯度算法进行fine turn。可以进行特征提取，也可以进行分类。压缩包里已带有训练用签字图片数据。相应算法说明可以查看hinton于2006年发表在 science的文章(First proposed deep learning algorithm hinton automatic encoder matlab code that reads: multilayer rbm automatic encoding multi-features of the training, and then use the gradient algorithm fine turn. Feature extraction can be classified. With compression bag has been training with the signature image data. Note You can view the corresponding algorithm was published in 2006 in hinton science articles)

说明：  负载均衡调度问题：假设有N个任务，需要负载均衡器分配给M个服务器节点去处理。每个任务的任务长度、每台服务器节点（下面简称“节点”）的处理速度已知，请给出一种任务分配方式，使得所有任务的总处理时间最短。initRandomMat文件(Load balancing scheduling problem: suppose there are n tasks, which need to be allocated to m server nodes by load balancer. The task length of each task and the processing speed of each server node (hereinafter referred to as "node") are known. Please provide a task allocation method to minimize the total processing time of all tasks.initRandomMat)