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这是一个关于matlab入门的教材，也是在网上找的，希望和大家分享(this is a book of matlab .I wish we learn it good。)

机器人路径规划 应用遗传算法做的 经过修改后 可以应用在其他的路径规划(path planning ＧＡ)

一个用matlab自己编写的求直方图，均衡化的小程序(One used for I have written matlab histogram equalization small program)

Maple Bai 4: Thanh phan ngon ngu va cac kieu du lieu

Direct torque control of IM

实现粒子群算法的PID控制功能，针对具体算例得出运行结果(Particle swarm optimization to achieve PID control functions, specific examples drawn operating results)

对线性时变模型和非线性模型的预测控制算法进行了仿真分析，设计了两种模型下的模型预测控制的实现(Simulation analysis of linear time-varying model and nonlinear model predictive control algorithm)

预测函数控制，可以跟踪自己设定的值，控制效果很好。(Predictive functional control, you can track their own set of values, the control works well.)

利用matlab，进行excel数据读取及处理，并输出到新的xlsx文件中或者进行数据连接。(Using matlab, excel data were read and processed and output to a new xlsx files or data connection.)

he files in this package comprise the Matlab implementation of a foreground segmentation algorithm based upon graph cuts, described in: Better Foreground Segmentation Through Graph Cuts, N. Howe & A. Deschamps. Tech report, http://arxiv.org/abs/cs.CV/0401017. The file extractForeground.m contains a sample function that will perform a complete foreground segmentation for static camera video. It uses a number of parameters, which are described in the documentation. An attempt was made to choose sensible default values, but they may need to be adjusted for some videos. More generally, the implementation in extractForeground.m is only a suggestion of how the graph-based segmentation might be used. The same approach can be applied with other (perhaps time-adaptive) background models. The key step is at line 113 of the code, once the deviation array has been created. The graph-cut segmentation can be applied similarly to a deviation matrix computed in any other way.