Contents

刘金坤《先进 PID 控制及其 MATLAB 仿真》书上第一章源程序。供大家参考。(Liu Jinkun " Advanced PID Control and MATLAB simulation," the book' s first chapter source,)

智利拼图，含有源码，希望对大家能有帮助呀。(Chile puzzle)

tutorial for coding by mstlsb for beginner student

转资料，四旋翼飞行器的自适应控制仿真，用的是别人做好的算法，自己已经编好S函数和搭建好模型(Transfer information, four rotor aircraft adaptive control simulation, the best algorithm with others, you have good S function and set up good model)

这是关于MUSIC算法的文档。希望对初学空间谱估计的人有帮助！(This is the document of MUSIC algorithm. I hope it can help beginners of spatial spectrum estimation. )

给定观测序列 O=O1O2O3…Ot和模型参数λ=(A,B,π)，怎样有效计算某一观测序列的概率，进而可对该HMM做出相关评估。例如，已有一些模型参数各异的HMM，给定观测序列O=O1O2O3…Ot，我们想知道哪个HMM模型最可能生成该观测序列。通常我们利用forward算法分别计算每个HMM产生给定观测序列O的概率，然后从中选出最优的HMM模型。(Given the observation sequence O = O1O2O3 ... Ot and model parameters λ = (A, B, π), how to effectively calculate the probability that a single observation sequence, and thus can make the relevant assessment of the HMM. For example, there are a number of different model parameters HMM, given the observation sequence O = O1O2O3 ... Ot, we want to know which model is most likely to generate the HMM observation sequence. Usually we use forward algorithm calculates the probability of a given observation sequence O generated for each HMM, HMM and then to choose the best model.)

算法的研究基于matlab模糊神经网络的预测算法-嘉陵江水质评价(A fuzzy neural network prediction algorithm )

cam_rotation2资料的详细功能、包含内容说明(cam_rotation2 information, including the content description)

Generation of a Signals

用Matlab绘制股市中的蜡烛图（K线图），包含虚拟数据和具体步骤(draw K line in the stock market with Matlab)