GA

BALLBEAM demonsrates Proportional-Derivative (PD) control as applied to a ball and beam simulation experiment. Execute by calling with no arguments. P and PD controllers are implemented which manipulates the beam angle in response to the position of the ball on the beam. The setpoint is indicated by the red marker and adjusted using the slider at the bottom of the figure. The control gain, Kc, and the Derivative Time constant, Td, are adjusted by a sliders located in the right hand control panel. Simulation data is stored in ballbeam.mat for subsequent analysis and parameter estimation. This demo was originally developed with Matlab 5.3 and Matlab 6.0. Some of the user interface code was shamelessly ripped out of the standard Matlab demos. The demo is now updated for Matlab 2010b with additional documentation and suggested exercises for classroom use.

说明：  通过MATLAB7.1编写程序，对已知的图像进行解码操作(jiemi)

c++实现的通信录，实现添加、删除、查找、修改等功能(communications recorded c++ implemented add, delete, search, modify functions)

全部是电机的matlab模型及仿真，使用MATLAB的SIMULINK建立的电力模型。(All motor Matlab model and simulation using MATLAB SIMULINK model of established power.)

钻井船悬臂梁loadchart计算 ,计算悬臂梁升出船体所能承受的井心与立根盒的最大载荷。(Calculate the cantilever rigs loadchart)

自写策略，MA均线突破，20日均线和50日均线突破的策略，仅供参考(MA20 & MA50 STRATEGY)

单榕液位模糊控制器相应的仿真图和模糊规则。(ChanRong liquid level fuzzy controller simulation diagram and the corresponding fuzzy rules。)

光纤LP31模式,光纤模式计算，纤芯模式，有效折射率(Fiber LP31 mode, fiber mode calculation, fiber core mode, effective refractive index)

Calculation of gradient and objective for Least Squares (binary classification)

粒子滤波技术在非线性、非高斯系统表现出来的优越性，决定了它的应用范围非常广泛。另外，粒子滤波器的多模态处理能力，也是它应用广泛有原因之一。国际上，粒子滤波已被应用于各个领域。在经济学领域，它被应用在经济数据预测；在军事领域已经被应用于雷达跟踪空中飞行物，空对空、空对地的被动式跟踪；在交通管制领域它被应用在对车或人视频监控；它还用于机器人的全局定位。 (Particle filter technology in the non-linear, non-Gaussian system demonstrated the superiority of the decision of its wide range of applications. In addition, the particle filter for multimodal capabilities, also has one of the reasons it is widely used. Internationally, the particle filter has been applied to various fields. In economics, it is applied to forecast economic data in the military field have been applied to radar tracking aerial flying objects, air to air, air-passive tracking in the field of traffic control it was used in the car or the person video monitoring also used the global positioning robot.)