Tu_hoc_Matlab

智能控制编程及其在matlab中如何应用实现(Intelligent control programming and its implementation in matlab how to apply)

多变量输入、输出、多干扰、非线性和强耦合的复杂系统控制是一个比较困难的问题，常用的控制器可能因为多变量耦合问题难以控制系统。PID神经元网络是一种多层前向神经元网络，它的各层神经元个数、连接方式、连接权值是按照PID控制规律的已有原则和经验确定的，是一种动态的符合控制系统的前向网络。但是由于PID网络初始权值随机取值的原因，每次控制的效果都有所差别，个别情况下控制效果还比较差。本案例研究了基于PID神经元的多变量耦合系统控制，并用PSO算法来优化控制器以取得更好的控制效果。(Multivariable input, output, and more interference, complex nonlinear and strong coupling system control is a more difficult problem, commonly used multivariable controller may be because the problem is difficult to control the coupling system. PID neural network is a multi-front to neural networks, its number of neurons in each layer, connection, connection weights are in accordance with the existing principles and experience to determine the PID control law is a dynamic compliance before the control system to the network. However, due to the random initial weights of the network PID values ​ ​ of reason, every time there are differences in the effect of control and in some cases the control effect is still relatively poor. This case study of multivariable coupling system based on PID control neurons, and with PSO algorithm to optimize the controller to achieve better control effect.)

用matlab画圆( create circle)

光栅模式传输 运用耦合模理论，有公式推导，直接明了，可以更改参数(Optical fiber grating transmission function simulation and may, according to the need of reality, change all kinds of parameters )

digital fir filter with matlab2

the coding of genetics algorithm in 5 machines and 5 jobs...the coding uses matlab 7.0 release 14

功能：CDMA调变 multiple access b/w 2 users using DS CDMA(multiple access b/w 2 users using DS CDMA format is : cdmamodem(user1,user2,snr_in_dbs) user1 and user2 are vectors and they should be of equal length)

用matlab编程做的《有限元法基础与程序设计》第二章的例子 方法三(FEA matlab )

小波分次谐波分解 用来解决傅里叶分解难以处理的分数次谐波(Harmonic decomposition wavelet decomposition is used to solve difficult to deal with fractional Fourier harmonics)

有关分数阶傅里叶变换的程序，包含有稀疏分数阶的快速算法(Procedures for fractional Fourier transform, including a sparse Fast Algorithm for Fractional)