Azzera filtri
Azzera filtri

How to use 5 function coupled each other using ODE45? it is possible?

1 visualizzazione (ultimi 30 giorni)
I have a coupled differential equation. I'm confused why my M3, O, and P values are 0. Even though the initial conditions M2, M3, O and P are 0 but only M2 has a value. Is there something wrong with the function?
function CM1 = mymode (t,M1,M2,M3,O,P)
M1= 10;
M2 = 0;
M3 = 0;
O = 0;
P=0;
delta=50;
gamma=75;
K1= 10^-4;
K2=5*10^-4;
K3=10^-3;
Ko=0.1;
n=3;
Oa=10;
Pa=100;
mu_1=10^-3;
mu_2=10^-3;
mu_3=10^-3;
mu_o=10^-4;
mu_p= 10^-5;
CM1= zeros(5,1);
CM1(1) = (delta*M1*(1-(M1/gamma))-2*K1*M1*M1-M1*(K2*M2)-((Oa-n)*K3*M1*M3)-((Pa-Oa)*Ko*M1*O)-(mu_1*M1));
CM1(2) = (K1*M1*M1)-(K2*M1*M2)-(mu_2*M2);
CM1(3) = (K2*M1*M2)-(K3*M1*M3)-(mu_3*M3);
CM1(4) = (K3*M1*M3)-(Ko*M1*O)-(mu_o*O);
CM1(5) = (Ko*M1*O)-(mu_p*P);
end
[t,M1,M2,M3,O,P] = ode45(@mymode, [0,100],[0,0.01])
plot (t,M1,M2,M3,O,P)
  4 Commenti
Torsten
Torsten il 20 Giu 2023
Modificato: Torsten il 20 Giu 2023
This is a Runge-Kutta-4 code for your problem. Try to understand how "runge_kutta_RK4" works on your system of equations to do better next time.
tstart = 0.0;
tend = 100.0;
dt = 0.01;
T = (tstart:dt:tend).';
Y0 = [10 0 0 0 0];
f = @myode;
Y = runge_kutta_RK4(f,T,Y0);
M1 = Y(:,1);
M2 = Y(:,2);
M3 = Y(:,3);
O = Y(:,4);
P = Y(:,5);
figure
subplot(3,1,1)
plot(T,M1),grid, title('M1')
subplot(3,1,2)
plot(T,M2),grid, title('M2')
subplot(3,1,3)
plot(T,M3),grid, title('M3')
figure
subplot(2,1,1)
plot(T,O),grid, title('O')
subplot(2,1,2)
plot(T,P),grid, title('P')
function Y = runge_kutta_RK4(f,T,Y0)
N = numel(T);
n = numel(Y0);
Y = zeros(N,n);
Y(1,:) = Y0;
for i = 2:N
t = T(i-1);
y = Y(i-1,:);
h = T(i) - T(i-1);
k0 = f(t,y);
k1 = f(t+0.5*h,y+k0*0.5*h);
k2 = f(t+0.5*h,y+k1*0.5*h);
k3 = f(t+h,y+k2*h);
Y(i,:) = y + h/6*(k0+2*k1+2*k2+k3);
end
end
function CM1 = myode (~,MM)
M1 = MM(1);
M2 = MM(2);
M3 = MM(3);
O = MM(4);
P = MM(5);
delta=50;
gamma=75;
K1= 10^-4;
K2=5*10^-4;
K3=10^-3;
Ko=0.1;
n=3;
Oa=10;
Pa=100;
mu_1=10^-3;
mu_2=10^-3;
mu_3=10^-3;
mu_o=10^-4;
mu_p= 10^-5;
CM1= zeros(1,5);
CM1(1) = (delta*M1*(1-(M1/gamma))-2*K1*M1*M1-M1*(K2*M2)-((Oa-n)*K3*M1*M3)-((Pa-Oa)*Ko*M1*O)-(mu_1*M1));
CM1(2) = (K1*M1*M1)-(K2*M1*M2)-(mu_2*M2);
CM1(3) = (K2*M1*M2)-(K3*M1*M3)-(mu_3*M3);
CM1(4) = (K3*M1*M3)-(Ko*M1*O)-(mu_o*O);
CM1(5) = (Ko*M1*O)-(mu_p*P);
end

Accedi per commentare.

Risposta accettata

Alan Stevens
Alan Stevens il 20 Giu 2023
Better like this:
MM0 = [10, 0, 0, 0, 0];
tspan = [0 100];
[t, MM] = ode15s(@mymode, tspan,MM0);
M1 = MM(:,1);
M2 = MM(:,2);
M3 = MM(:,3);
O = MM(:,4);
P = MM(:,5);
figure
subplot(3,1,1)
plot(t,M1),grid, title('M1')
subplot(3,1,2)
plot(t,M2),grid, title('M2')
subplot(3,1,3)
plot(t,M3),grid, title('M3')
figure
subplot(2,1,1)
plot(t,O),grid, title('O')
subplot(2,1,2)
plot(t,P),grid, title('P')
function CM1 = mymode (~,MM)
M1 = MM(1);
M2 = MM(2);
M3 = MM(3);
O = MM(4);
P = MM(5);
delta=50;
gamma=75;
K1= 10^-4;
K2=5*10^-4;
K3=10^-3;
Ko=0.1;
n=3;
Oa=10;
Pa=100;
mu_1=10^-3;
mu_2=10^-3;
mu_3=10^-3;
mu_o=10^-4;
mu_p= 10^-5;
CM1= zeros(5,1);
CM1(1) = (delta*M1*(1-(M1/gamma))-2*K1*M1*M1-M1*(K2*M2)-((Oa-n)*K3*M1*M3)-((Pa-Oa)*Ko*M1*O)-(mu_1*M1));
CM1(2) = (K1*M1*M1)-(K2*M1*M2)-(mu_2*M2);
CM1(3) = (K2*M1*M2)-(K3*M1*M3)-(mu_3*M3);
CM1(4) = (K3*M1*M3)-(Ko*M1*O)-(mu_o*O);
CM1(5) = (Ko*M1*O)-(mu_p*P);
end
  3 Commenti
Alan Stevens
Alan Stevens il 20 Giu 2023
Yes, you can also use ode45 - it just uses more points over the time span.

Accedi per commentare.

Più risposte (0)

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by