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chap4_4.m
%Adaptive PID control based on RBF Identification
clear all;
close all;
xite=0.25;
alfa=0.05;
belte=0.01;
x=[0,0,0]';
ci=30*ones(3,6);
bi=40*ones(6,1);
w=10*ones(6,1);
h=[0,0,0,0,0,0]
s4_4.m
function [sys,x0,str,ts] = s4_4 (t,x,u,flag,A,B,C,D)
switch flag,
case 0 % 初始化设置
[sys,x0,str,ts]=mdlInitializeSizes(A,D);
case 1 % 连续状态变量计算
sys = mdlDerivatives(t,x,u,A,B);
case 3 % 输出量计
chap4_4.m
%Adaptive PID control based on RBF Identification
clear all;
close all;
xite=0.25;
alfa=0.05;
belte=0.01;
x=[0,0,0]';
ci=30*ones(3,6);
bi=40*ones(6,1);
w=10*ones(6,1);
h=[0,0,0,0,0,0]
day4_4.html
Sohu
.big {font-family: Arial, Helvetica, 宋体
chap4_4.m
%Adaptive PID control based on RBF Identification
clear all;
close all;
xite=0.25;
alfa=0.05;
belte=0.01;
x=[0,0,0]';
ci=30*ones(3,6);
bi=40*ones(6,1);
w=10*ones(6,1);
h=[0,0,0,0,0,0]
program_4_4.m
% Program 4_4
% Program to Design Elliptic Lowpass Filter
%
% Read in the filter order, passband edge frequency,
% passband ripple in dB and minimum stopband
% attenuation in dB
N = input('Order
fig4_4.m
% Use this program to reproduce Fig 4.4 of text
close all
clear all
eps = 0.0001;
taup = 2.;
fd = -10./taup:.05:10./taup;
uncer = abs( sinc(taup .* fd));
ambg = uncer.^2;
plot(fd, ambg,'k')
x
example4_4.m
%将两幅灰度图像合并成一个具有两帧的图像阵列，然后再调用imshow函数来显示第
%一帧图像。
A1=imread('rice.tif');
A2=imread('testpat1.tif');
A=cat(3,A1,A2); %用cat函数实现矩阵的合并
imshow(A(:,:,1)) %1代表第一帧