MNONCOH

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)

研究目标距离R变化时，对两站定位精度的影响(Change of the distance R, on the positioning accuracy of the two stations)

Introduction to Neural Network using Matlab

灰色理论的讲解，带有matlab程序实例说明，代码可以直接复制使用(Gray theory to explain, with the matlab program examples, the code can be copied directly use)

这是一些基本的matlab的图像处理源码，经过编译通过，完全可以运行，非常好用(This is some basic image processing matlab source, after the compiler is passed, can run, very easy to use)

1.选择一幅图像，利用散焦模型或运动模糊模型对该图像进行模糊处理；利用逆滤波对模糊图像进行复原处理，显示原始图像、模糊图像以及复原处理后的图像。 2.利用迭代算法对模糊图像进行逆卷积复原处理，显示原始图像、模糊图像以及复原处理后的图像。 (1. Select an image, the use of defocusing model or the model of the motion-blurred images fuzzy processing the use of inverse filtering for fuzzy image restoration processing, display the original image, fuzzy images, as well as recovery after treatment images. 2. Use of iterative algorithm for fuzzy image restoration deconvolution processing, show the original image, fuzzy images, as well as recovery after treatment images.)

nsga-ii源代码实现（国外权威编写）(the code of nsga-ii )

MATLAB SIMULINK SIMITH 控制模型(MATLAB SIMULINK SIMITH control model)

simple mesh generation in matlab

ofdm wireless lan document