functions

电子工业出版社出版的国外电子与通信教材系列一书：现代通信系统（MATLAB版）（第二版）中的脚本文件与M文件。(Electronics Industry Publishing House of foreign electronic communications materials and a series of books : Modern communication system (MATLAB) (2nd edition), the script file with the M-file.)

introduction to nonlinear estimation with EKF and an example in Matlab

DMC的主要特征是预测模型采用阶跃响应特性建模 设计过程中固定格式:用二次型目标函数决定 控制量最优值增量序列 自校正动态矩阵控制等多种算法 参数调整:用改变二次型目标函数中的权系数 阵来实现.(With the research of dynamic characteristic of electrical resistance furnace and the imp rovements of MPC in detail, the effects between DMC and P ID in the temperature control system of electrical resistance furnace was compared. The results confirmed that DMC not only overcomes the inaccuracy of the models and the variability of the parameters, but also achieves better performance index than P ID in accordance with the expectation of given curve.)

this is the Broyden s method for solving nonlinear system of equations

用于求解多孔介质的波尔茨曼方程，采用matlab编写。(Code for lb method to analysis the pirous problem.)

天线方向图的波达方向，用于描述回波的方向图1，可以用于初学者学习使用(DOA antenna pattern, used to describe the echo pattern 1, can be used for beginners to learn to use)

使用matlab进行机械传动系统的建模与仿真，内容包括ppt文档和模型文件。(Matlab mechanical drive system using modeling and simulation, including model documents and ppt files.)

用matlab实现的时域有限差分法程序，模拟了金属槽的电势分布。(Matlab implementation of the finite difference time domain method program to simulate the potential distribution of the metal tank.)

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.)

Fibonacci m file in matlab