MATLAB-UG

matlab语言编写 新三步搜索算法 ，希望大家有用(New Three Step Search Algorithm)

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.)

使用matlab编程GUI界面模拟琴键，点击GUI按钮发出相应频率的声音(Simulation using matlab programming GUI interface keys, click on the GUI button corresponding frequency sound issue)

可以改善其时延较长的问题,但以往技术是针对每一跳候选节点的休眠时延进行优化的(Implementation algorithm optimization to achieve the connection of WSN)

optimize the parameters of fuzzy controller(optimiztion of fuzzy proportional factor based on genetic algorithm)

有一个小的错误数据采集财产编辑线225 ： data.ObjectList （ CT表现1 ：电脑断层+ numChildren ， 1 ） = num2cell （儿童） 这一事业的情况，信息渠道，开始形成第二个是不显示的。您可以尝试的坐标(There is a small error in data acquisition and property editing line 225: data.ObjectList (CT performance 1: CT+ numChildren, 1) = num2cell (children) the cause of the situation, information channels, the second is the beginning of the formation do not show of. You can try to coordinate)

assemblies language 8058

欢迎大家下载学习，采用波束成形技术的BER计算，LCMV优化设计阵列处理信号。( Welcome to download the study, By applying the beam forming technology of BER LCMV optimization design array signal processing.)

说明：  方程（组）、搜索根的方法、二分法、抛物线法、牛顿(Newton)切线法等在MTLAB中的应用(Equation (s), search the root of the method, bisection method, parabolic, Newton (Newton) tangent law of the MTLAB)

伪逆分类法的matlab实现，包含训练和测试部分(Pseudo-inverse classification matlab realization, including training and testing parts)