代码搜索：超远程
找到约 3,969 项符合「超远程」的源代码
代码结果 3,969
www.eeworm.com/read/123833/14611721
m exp4_8.m
clear
clc
close all
%输入期望得超调量及峰值时间
pos=input('please input expect pos(%)=');
tp=input('please input expect tp=');
z=log(100/pos)/sqrt(pi^2+(log(100/pos))^2);
wn=pi/(tp*sqrt(1-z^2));
num=wn^2;
www.eeworm.com/read/122468/14688309
m exp4_8.m
clear
clc
close all
%输入期望得超调量及峰值时间
pos=input('please input expect pos(%)=');
tp=input('please input expect tp=');
z=log(100/pos)/sqrt(pi^2+(log(100/pos))^2);
wn=pi/(tp*sqrt(1-z^2));
num=wn^2;
www.eeworm.com/read/220803/14788705
m exp4_8.m
clear
clc
close all
%输入期望得超调量及峰值时间
pos=input('please input expect pos(%)=');
tp=input('please input expect tp=');
z=log(100/pos)/sqrt(pi^2+(log(100/pos))^2);
wn=pi/(tp*sqrt(1-z^2));
num=wn^2;
www.eeworm.com/read/366962/2857298
svn-base 20051002111406.html.svn-base
陈慧琳宣传新碟 想与超女共谱《大长今》
TD {
COLOR: #646464; FONT-FAMILY: "宋体"; FONT-SIZE: 13px; TEXT-DECORAT
www.eeworm.com/read/476058/6773157
m exp4_8.m
clear
clc
close all
%输入期望得超调量及峰值时间
pos=input('please input expect pos(%)=');
tp=input('please input expect tp=');
z=log(100/pos)/sqrt(pi^2+(log(100/pos))^2);
wn=pi/(tp*sqrt(1-z^2));
num=wn^2;
www.eeworm.com/read/395679/8161111
m exp4_8.m
clear
clc
close all
%输入期望得超调量及峰值时间
pos=input('please input expect pos(%)=');
tp=input('please input expect tp=');
z=log(100/pos)/sqrt(pi^2+(log(100/pos))^2);
wn=pi/(tp*sqrt(1-z^2));
num=wn^2;
www.eeworm.com/read/193048/8255606
m fig6_6.m
% fig6_6
% 超调量与ζ的关系
figure('pos',[80,80,200,200],'color','w');
axes('pos',[0.25,.16,.68,.78]);
zeta=0:0.02:1;
mp=100*exp(-pi*zeta./sqrt(1-zeta.*zeta));
plot(zeta,mp,'k');
grid;
set(gca,'xtick'
www.eeworm.com/read/173468/9656011
m hyperchaoscorrelationint.m
%kawakami超混沌序列
L=6000;%相关运算的长度
x=zeros(1,L);
x(1)=0.400001;
y(1)=0.010007;
for i=1 : L
x(i+1) = -0.125 * x(i) + y(i);
y(i+1) = x(i) * x(i) - 1.5;
end
crx=xcorr(x,'unbiased');
plot(cr
www.eeworm.com/read/173468/9656012
m hyperchaoscorrelationdouble.m
%kawakami超混沌序列
L=6000;%相关运算的长度
x=zeros(1,L);
x(1)=0.400001;
y(1)=0.010007;
for i=1 : L
x(i+1) = -0.1 * x(i) + y(i);
y(i+1) = x(i) * x(i) - 1.6;
end
crx=xcorr(x,'unbiased');
plot(crx)