MATLAB_SMULINK_PMSM_mdl

通过介绍判断分析的相关内容，提供了相关的算法，很好，很全面(By introducing the judgments of the relevant content, providing the relevant algorithm, very good, very comprehensive)

Face recognition system with basic scaling method. Tested ORL database

多传感器数据融合的梯度下降法。方法较为简单，代码基本可以实现滚转角与俯仰角的解算，需要再调参数会更精确(Multi-sensor data fusion gradient descent. The method is simple, basic code can roll angle and pitch angle of the solver, you need to re-tune the parameters would be more accurate)

说明：  Write a program in MATLAB for edge detection

说明：  四阶超混沌系统的lyapunov指数计算程序。(Lyapunov exponent calculation program for fourth-order hyperchaotic systems)

matlab经典算法的程序-优化问题 optimizing(classical algorithm matlab procedures- optimizing optimization problem)

调试所用Matlab版本是6.5，gatbx-toolbox是调试过程中使用的工具箱，有些热心的研友已经提供了该工具箱，之所以再贴一遍，是因为6.5版本下调试该工具箱会出现一些错误提示，在该版本中已经进行了改正，使用该工具箱只需要将压缩包下的gatbx和gatbxTest_fns加入到Matlab搜索路径即可，另外gatbx-origin是Sheffield大学提供的原始版本的工具箱，未做任何改动，两者可做比较之用 3.gatbx-example是算例调试源码和各算例的调试说明，大家可以对照原书进行比较 4.窃以为gatbx工具箱较之Matlab7新版下的gads工具箱更能让人熟悉和了解遗传算法的原理和计算过程，虽然在可视化方面不及gads 5.学习遗传算法如果首先用熟相关工具箱的话，能够先培养信心，然后更有兴趣去专研和了解具体的算法，如果就用现有的工具箱就能解决问题的话，不了解其详细的算法也未尝不可，毕竟不是每个研友都能向see_moonlight那样开发自己的工具箱吧, ( The debugging uses the Matlab edition is 6.5, gatbx-toolbox debugs the toolbox which in the process uses, somewhat warm-hearted ground the friend already to provide this toolbox, the reason that pasted again, was because under 6.5 editions debugged this toolbox to be able to present some wrong prompts, had already carried on the correction in this edition, will use this toolbox only to need to compress package of under gatbx and gatbx Test_fns joins to the Matlab search path then, moreover gatbx-origin was the primitive edition toolbox which the Sheffield university provided, has not made any modification, both might make the comparison are the example debugging sound code and various examples debugging explained with 3.gatbx-example, everybody might compare the original bookCarries on comparison 4. in my opinion under the gatbx toolbox s to be able to let the human compared with Matlab7 update gads toolbox be familiar with the understanding genetic algorithm principle and)

以31个城市的旅行商问题为例，通过编程实现蚁群算法的TSP问题求解。(using ant colony algorithm to solve the problem of the TSP )

here these are the compiled files.

说明：  delay函数，运行于混合动力汽车模型制作之中(delay)