Lyapunov指数随参数变化的程序
function dX = DF(t,X,flag,alafa)global alafa;
a0=0.05;f1=5;f2=10;mu=0.1;w0=1;beta=0.1;ks=2;
b0=(f1-(f1^2-4*mu^2*w0^2*a0^2)^0.5)/(2*mu*w0);
omega=1;
x=X(1);y=X(2);z=X(3);
Y = [X(4), X(7), X(10);
X(5), X(8), X(11);
X(6), X(9), X(12)];
dX = zeros(12,1);
dX(1)=y;
dX(2)=-(w0^2*x-ks*beta*x^2+ks*alafa*x^3+ks*mu*y-ks*f1*cos(z)-ks*f2*cos(2*z));
dX(3)=omega;
J=[0 1 0 ;
-w0^2+2*ks*beta*x-3*ks*alafa*x^2 -mu*ks ks*f1*sin(z)+2*ks*f2*sin(2*z);
0 0 0];
dX(4:12) = J*Y;
% 计算duffing吸引子的Lyapunov指数谱,随参数alafa变化
clear all;
clc;
Z1=[ ];
Z2=[ ];
Z3=[ ];
global alafa;
% 初始化输入
a0=0.05;f1=5;f2=10;mu=0.1;w0=1;beta=0.1;ks=2;
b0=(f1-(f1^2-4*mu^2*w0^2*a0^2)^0.5)/(2*mu*w0);
yinit = ;
orthmatrix = [1 0 0;
0 1 0;
0 0 1];
y = zeros(12,1);
IC(1:3) = yinit;
IC(4:12) = orthmatrix;
InitialTime = 0; % 时间初始值
TimeStep = 1e-2; % 时间步长
wholetimes = 1e2; % 总的循环时间
UpdateStepNum = 10; % 每次演化的步数
iteratetimes = wholetimes/UpdateStepNum; % 演化的次数
DiscardItr=200; %抛弃的不稳定迭代次数
Iteration=UpdateStepNum*TimeStep;
DiscardTime=DiscardItr*Iteration+InitialTime;
mod = zeros(1,3);
d=3; %维数
Sum=zeros(1,d);
n=0; %总的迭代计数
k=0; %对结果有作用的迭代计数
xData=[];
yData=[];
T1=InitialTime;
T2=T1+Iteration;
TSpan=;
options=odeset('RelTol',1e-5,'AbsTol',1e-6);
for alafa=linspace(0.8,2.4,200);
lp=0;
for i=1:iteratetimes
n=n+1
=ode45('DF1', TSpan, IC,options);
=size(X);
L=cX-d*d;
% 取积分得到的最后一个时刻的值
for i=1:d
m1=L+1+(i-1)*d;
m2=m1+d-1;
A(:,i)=(X(rX,m1:m2))';
end
y0 = ThreeGS(A); %正交化
% 取三个向量的模
mod(1) = sqrt(y0(:,1)'*y0(:,1));
mod(2) = sqrt(y0(:,2)'*y0(:,2));
mod(3) = sqrt(y0(:,3)'*y0(:,3));
y0(:,1) = y0(:,1)/mod(1);
y0(:,2) = y0(:,2)/mod(2);
y0(:,3) = y0(:,3)/mod(3);
y(4:12) = y0';
if T2>DiscardTime
Q0=y0;
else
Q0=eye(d);
end
if (T2>DiscardTime )
k=k+1;
T=k*Iteration;
TT=n*Iteration+InitialTime;
%计算lyapunov指数
Sum=Sum+log(abs(mod));
lambda=Sum/T;
%按降序排列指数
Lambda=fliplr(sort(lambda));
xData=;
yData=;
end
% 重新定义起始时刻
ic=X(rX,1:L);
T1=T1+Iteration;
T2=T2+Iteration;
TSpan=;
IC=;
end
end
alafa=linspace(0.8,2.4,200);
plot(alafa,yData(:,1),'-',alafa,yData(:,2),'-',alafa,yData(:,3),'-');
title('Lyapunov exponents spectrum of duffing')
xlabel('alafa'),ylabel('lyapunov exponents')
grid on
%G-S正交化
function A = ThreeGS(V)% V 为3*3向量
v1 = V(:,1);
v2 = V(:,2);
v3 = V(:,3);
a1 = zeros(3,1);
a2 = zeros(3,1);
a3 = zeros(3,1);
a1 = v1;
a2 = v2-((a1'*v2)/(a1'*a1))*a1;
a3 = v3-((a1'*v3)/(a1'*a1))*a1-((a2'*v3)/(a2'*a2))*a2;
A = ;
matlab运行时出现??? Error using ==> plot
Vectors must be the same lengths.
Error in ==> canshu at 93
plot(alafa,yData(:,1),'-',alafa,yData(:,2),'-',alafa,yData(:,3),'-');
怎么回事,请高手指教
回复 1 # bohua1208 的帖子
绘图的矩阵必须是相同的长度 请问一下这个程序绘制出来的最大LE 指数谱对吗? 凡是用这个程序计算指数图 我都没有得到正确的结果,我不知道错在哪里? 回复 4 # liliangbiao 的帖子
我更改了一下程序,做出来结果了,但是结果是这样的http://forum.vibunion.com/thread-106334-1-1.html 指数全部都是正数,怎么回事呢? 版主,你的问题怎么解决的? 回复 4 # liliangbiao 的帖子
你好,看来对Lyapunov指数的作图很有经验了,那我想问问duffing系统作Lyapunov指数图用哪种程序好呢?
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