Staggered-grid-acoustic-simulation

基于遗传算法的PID参数优化的MATLAB程序，采用的是二进制编码方式，通过传递函数的离散经过适应度计算 选择复制 交叉 变异操作得到最优解。(PID parameters based on genetic algorithm optimization of the MATLAB program, using the binary encoding, by the discrete transfer function adapted calculation select Copy crossover, mutation operations to obtain the optimal solution.)

广义预测控制GPC多变量预测控制源程序代码(Generalized predictive control (GPC) Multivariable Predictive Control)

粒子群算法的matlab实现，自己写的，对初学者有一定帮助(good for learning)

说明：  filter line recognation iamge processing

matlab做的图像检索文档。里面3组图片可以试一试。(Matlab to do image retrieval. In 3group of pictures can try.)

Implementation of Dijkstra s method using a Matlab sparse matrix as an adjacency matrix. Zero entries represent non-existent edges. Uses linear search for simplicity

this is saple program for file system implementtion in purebasic

位置指令为幅值为1.0的阶跃信号，r（k）=1.0。网络结构为1-4-1，高斯函数的参数值取Cj=[-2 -1 1 2]T ，B=[0.5 0.5 0.5 0.5]T 。 网络权值学习参数为η=0.30，α=0.05 。PID控制各参数的初RBF网络控制，被控对象为G（s）= 取采样时间为1ms，采用Z变换进行离散化，离散化后的被控对象为 y(k)=-den(2)*y（k-1）-den(3)*y(k-2)+num(2)*u(k-1)+num(3)*u(k-2) 始值为，kp=20， kd=0.3， ki=0.1。 (Position command for the step signal amplitude of 1.0, r (k) = 1.0. The network structure is 1-4-1, the Gaussian function parameters taken Cj = [-2-1 1 2] T, B = [0.5 0.5 0.5 0.5] T. Weight learning parameter η = 0.30, α = 0.05. PID control parameters at the beginning of each RBF network control, the controlled object is G (s) = take the sampling time is 1ms, using the Z transform discrete, discretized controlled object is y (k) =-den (2)* y (k-1)-den (3)* y (k-2)+num (2)* u (k-1)+num (3)* u (k-2) initial value, kp = 20, kd = 0.3, ki = 0.1.)

低通 带通 高通 滤波器设计的MATLAB源代码 特别适合初学者(low fourier high fourier band fourier designed by matlab )

Diversity Techniques over Fading Channels Equal Gain Combining