IMM

研究Ｌ ü混沌系统的脉冲鲁棒镇定问题，得到其脉冲鲁棒镇定的充分条件，给出相应的脉冲控制律。通过应用Ｍａｔｌａｂ 中Ｓｉｍｕｌｉｎｋ 工具箱对Ｌü混沌系统进行仿真分析，说明脉冲控制是有效的镇定受扰动混沌系统的方法。 (Study of chaotic systems L ü pulse robust stabilization problem, get a pulse of a sufficient condition for robust stabilization, given the corresponding pulse control law. Through the application of Matlab in Simulink toolbox of chaotic Lü system simulation analysis shows that impulse control is an effective stabilization of chaotic systems by perturbation method.)

these codes are about simulation of vcsel laser diod

空间普估计之mnm算法随着信噪比变化如何变化的(Algorithm estimates mnm space with general changes in how the SNR changes)

A simple message window similar to msgbox without button,转载(A simple message window similar to msgbox without button, reprint)

脉冲传输函数,描述脉冲的传出特性，基于matlab的平台(pulse function matlab)

说明：  提取ERP,从matlab的数据文件中提取出脑电数据，并通过输入的信噪比进行滤波，这是第二部分 脑电数据文件(abstract ERP)

使用matlab工具实现账户登陆功能，密码的隐藏，使用matlab做系统可以参考，内含源码(Use the Matlab tools account login function hidden password, use matlab system can reference containing source)

Achievo ATK 是一个以提升开发速度为其核心目标的业务框架。该框架的所有部分都以减少应用程序代码为目标。它没有提供大量工具类以实现广泛的功能，而是提供了一个通用 框架来减少代码。所有新增特性都经过慎重考虑 — 只有它们在某些地方能够降低开发时间才添加。 Achievo ATK 新特性的添加在某种程度上来说是一种演进式开发。没有专门负责开发新特性的团队；而是基于使用该框架的应用程序的要求来对其进行扩展。 (Achievo ATK is an upgrade to speed the development of the core objectives of the operational framework. The framework All parts are to reduce application code as a target. It did not provide a large number of tools to achieve the broad category of the function, but to provide a general framework to reduce code. All these new properties are the result of careful consideration- they are only in certain areas to reduce the development time to add. Achievo ATK new properties added to a certain extent, this is an evolutionary development. Not specifically responsible for the development of new properties team; It is based on the use of the framework of the application's requirements for its expansion.)

robocup 2d 仿真足球base代码(the robocup 2d simulation Soccer base code)

遗传算法求最优解，可以运行，非常好的例子，可以学习一下，附有注释(Genetic algorithms for the optimal solution, you can run, very good example, you can learn about, annotated)