PI_Tuning_Example

It s a simulation system 802.16a3

matlab方程求根程序，里面包括了常用的matlab方程求根的程序，包括手写的和matlab自还的函数。(matlab equation Roots program, which includes the commonly used procedure for finding roots of equations matlab, including handwritten and self is also a function of matlab.)

经典《matlab及其在理工课程中的应用指南》电子书(Classic " matlab and its courses in the sciences and the application of Guide" e-books)

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： 其中由于现场环境干扰，输出带有测量噪声是（0，1）的正态分布序列，它的方差为ɑ=0.5。由于输出中带有很大的噪声信号，故将数字滤波技术中常见的低通滤波器由于偏差控制，滤掉其中的噪声信号，然后在对其进行PID计算，得到实际的控制量。在该方法在噪声较强的环境下，可以得到较好的控制效果。 控制要求： 1、 采用带低通滤波器的增量式PID将塔顶轻组分含量控制在0.99 2、 用ISTE法整定PID参数 3、 在控制过程中，到150周期加入幅度为-20 的阶跃干扰，在第300周期干扰消失。分析PID参数的抗干扰性。 (Medium-purity distillation column, taking into account ranging from molecular overflow and non-ideal vapor-liquid equilibrium, the transfer function between the light component content of the top product Y and the back flow L can be obtained as: Because the field of environmental interference, output with the measurement noise is a normal distribution (0,1) sequence, its variance ɑ = 0.5. As with a lot of noise in the output signal, it will be common in low-pass filter in the digital filtering techniques due to the bias control, filter out the noise signal, then its PID, the actual amount of control. In the strong noise environment, you can get better control effect. Control requirements: 1, using the incremental PID with a low-pass filter to the top of the tower content of light components in the 0.99 2, the method of ISTE tuning PID parameters 3, in the control process, to 150 cycles join the range of-20 step disturbance, disappearance of interference in the first 300 c)

介绍地球物理中的一些主要算法，及其c++编译，英文版(discribe the use of c++ in geophysical )

应用于模式识别的感知机算法的MATLAB代码实现(The perceptron algorithm is the classic method of Pattern recognition)

p pi and pid control which is very important to control strategy .

几个波束形成Matlab程序，适于初学者学习(Several beamforming Matlab program, suitable for beginners to learn)

The code is there for the Normalized Cross Correlation Techniques for object detection in matlab

program for alamouti STBC