nwfe_code

数字控制系统是一种以数字计算机为控制器去控制具有连续工作状态的被控对象的闭环控制系统。因此，数字控制系统包括工作于离散状态下的数字计算机和工作于连续状态下的被控对象两大部分。我的课题的数字部分（PID）仿真由相应的离散传函实现，运用数字PID对被控对象实行准确控制。通过调节比例（P）、积分（I）、微分（D），使对象的输出达到预期的效果。(Digital control system is a kind of digital computer for the controller to control a continuous state of the object and closed loop control system. Therefore, the digital control system, including work on the discrete state of the digital computer and work in a continuous state of the plant is two parts. My topic of digital section (PID) simulation by the realization of the corresponding discrete transfer function using the digital PID control of the plant is implemented accurately. By adjusting the ratio of (P), integral (I), differential (D), so that the output of the object to achieve the desired results.)

针对正弦信号的PID响应进行控制，系统采用基于S函数的simlink仿真。(In view of the sine signal response to the PID control, the system adopts simlink simulation based on S function.)

这一文件对于学习神经网络、支持向量机（svr）的同仁们会有很大的帮助。(This document for learning neural networks, support vector machines (svr)colleagues will be very helpful.)

改进的预测控制，结合了一般的算法，但增加了预测控制对象是否稳定的判断(predictive control)

一个小程序，关于一维扩散方程初边值问题的数值求解(a small procedure on the one-dimensional diffusion equation is the numerical solution)

用matlab/m文件编写的计算标准大气压小程序，非常实用，可以用于各种飞行器控制设计等方面的仿真，m文件编写很容易转换成c/c++，有问题请留言。(Written using matlab/m file calculation standard atmospheric pressure of small procedures, very useful, can be used for simulation of various aircraft control design, m document can be easily converted into c/c++, have any questions please leave a message)

刘金坤编写的智能控制一书中的程序代码，调试通过的！(Smart Liu Jinkun a book written control program code, debugging through!)

数学模型中Q值法（算法及matlab程序）(Mathematical model in the Q value method matlab program)

vc和matlab混合编程，在vc中调用matlab的函数进行计算和处理，本程序中调用了matlab图像处理函数打开图像并进行灰度处理(vc and matlab mixed programming, matlab function calls are calculated and processed in the vc, the program calls the matlab image processing function to open and grayscale image processing)

粒子群算法及其改进，在原有粒子群算法基础上进行改进，增加免疫算法，使其尽快跳出早熟，收敛更快，结果更优！(Particle swarm optimization (PSO) and its improvement are improved on the basis of the existing particle swarm algorithm, and the immune algorithm is added to make it jump out of premature, faster convergence and better results)