math_eng_chap05

solve laplace in3 method

基于Matlab语言的Monte_Carlo入门教程.用于初学者学习。有一定的指导意义。(Based on Matlab language Monte_Carlo Tutorial. For beginners. Have some significance.)

两自由度非线性比例前馈四轮转向模型，测汽车质心侧偏角和横摆角速度(Two degrees of freedom nonlinear feedforward four-wheel steering model, auto measuring centroid side-slip Angle and yawing angular velocity )

说明：  最大类间方差法 最大类间方差法是由Otsu于1979年提出的，是引起了较多关注的阈值化方法。(Maximum between maximum between-class variance method variance method was proposed in 1979 by Otsu, is causing the threshold method more attention.)

说明：  整数线性规划中intprog的代码定义，用于matlab中(integer linear programming)

LMS算法程序表述其算法机制同时给出图样(LMS algorithm program)

this is one of the best compression code in the world name as shanon fano code

说明：  syllabe detection using STE

power factor correciton

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.)