ppbGauss

matlab lecture note 2. by KAIST.

以中等纯度的精馏塔为研究对象，考虑到不等分子溢流的影响和非理想的汽液平衡，可以得到塔顶产品轻组分含量Y与回流量L之间的传递函数为： 控制要求： 1.采用积分分离 PID控制算法将塔顶轻组分含量Y控制在0.99 2.采用继电法整定PID参数 3.整定效果验证：当被控过程参数时变时，如滞后时间由4→8，开环增益由3.4→6时, 讨论PID控制的响应速度及鲁棒性问题，考察当系统参数发生改变时，上述PID参数是否选取合适。 (Moderate purity fractionator as the object of study, taking into account the ranging molecular overflowing and non-ideal vapor-liquid equilibrium can be obtained by the transfer function between the content of light components of the overhead product Y and back to the flow L: Control Requirements: 1. integral separation PID control algorithm to control the top of the tower light component content Y 0.99 2. relay Law tuning PID parameters. tuning effect is verified: change When accused of process parameters, such as the lag time from 4 → 8, the open loop gain discussed from 3.4 → 6, the PID control of the response speed and robustness issues investigated when the system parameters are changed, the PID parameters select appropriate.)

著名混沌研究人员许小可的mex的matlab程序，很有参考价值(Hsu Hsiao Ke-known researchers in the chaos of the matlab mex procedure was useful)

Corrected as at 12/05/2003, 2102 HRS This program uses a Marching On in Time algorithm as described in equation 2.3.35 page 62 of: S. M. Rao 1999, "Time Domain Electromagnetics", Academic Press, pp. 1, 21, 58-52. ISBN 0-12-580190-4 The self term calculation uses the Equation as describled in C. A. Balanis 1997, "Antenna Theory Analysis and Design", John Wiley & Sons, p. 384 ISBN 0-471-59268-4 Note: all time units are in light meters (m/c).

说明：  it is a three-phase PWM inverter

training for dvr with nn control

对声音信号进行处理的matlab仿真，可以用于水声信号(Right audio signal processing matlab simulation can be used for underwater acoustic signal)

先进PID控制及其MATLAB仿真(刘金锟)(Advanced PID control and MATLAB simulation (Liu Kun) )

通过Matlab/simulink对boost电路进行编程，实现了输出电压的PI控制。对输出电压可以任意调节(By Matlab/simulink for boost circuit programming, the PI control of the output voltage. The output voltage can be adjusted)

这个程序是基于混合高斯背景模型的运动目标检测算法，m文件和所用视频放到matlab的工作目录下即可运行(This program is based on the Gaussian mixture background model of moving target detection algorithm, m, and used video files into matlab working directory to run)