How to solve and plot system of nonlinear differential equations?

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I'm trying to recreate graphs from a modeling paper by plotting a system of differential equations in MatLab. Unfortunately, I don't have much MatLab experience if any. I've found other questions on systems of nonlinear equations asked in MatLab answers and have managed to produce a plot for my own system, but this plot is not the same as the one in the paper I'm using.
https://imgur.com/a/hBQ3z This should show the differential equations I'm using, the parameter values, the graph I'm trying to recreate, and the plot I ended up with.
Here is the code I used to set up my system and plot the equations.
syms p(t) m(t) l(t) T Y
Eqns = [diff(p(t),t) == (3*p(t)*(1-p(t)))-(30*(p(t)*m(t))); diff(m(t),t) == ((25*p(t)+l(t))*m(t)*(1-m(t)))-m(t); diff(l(t),t) == (15*(1+tanh(2*m(t)-2)))-l(t)]
[DEsys,Subs] = odeToVectorField(Eqns);
DEFcn = matlabFunction(DEsys, 'Vars',{T,Y});
tspan = [0,25];
y0 = [0.01 0.05 0.539];
[T,Y] = ode45(DEFcn, tspan, y0);
figure(1)
plot(T,Y)
legend('p(t)','m(t)','l(t)')
grid
These are the same equations shown in the imgur album which I tried to recreate through diff(p(t),t), diff(m(t),t), and diff(l(t),t)
Here are the parameter values and graph I'm trying to recreate
And this is the graph I ended up with
I based my code off of a response provided to a question asked here (https://www.mathworks.com/matlabcentral/answers/365203-how-to-solve-a-system-of-nonlinear-differential-equations), but I would really appreciate anyone that could help me solve my plotting problems and show me what I did incorrectly and how to get the right plot.
Thanks.
  1 Comment
Rahiti Arapari Hargous
Rahiti Arapari Hargous on 31 Jul 2018
Moved: Dyuman Joshi on 4 Apr 2024
Hi everyone,
I have a similar problem with the next governing equation, with y(t) and x(t). The system of equation is the next one:
ay''' - b*x*y' + w*cos(y) = 0
x' - w*L*sin(y)=0
If anyone can help thanks

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Accepted Answer

Daniel Jovin
Daniel Jovin on 26 Feb 2018
Edited: Daniel Jovin on 26 Feb 2018
% code
kp = 3;
kpm = 30;
kmp = 25;
klm = 15;
kl = 1;
f = @(t,y) [(kp*y(1)*(1-y(1)))-(kpm*(y(1)*y(2))); ((kmp*y(1)+y(3))*y(2)*(1-y(2)))-y(2);(klm*(1+tanh(2*y(2)-2)))-(kl*y(3))];
tspan = [0, 25];
xinit = [0.01, 0.05, 0.539];
ode45(f, tspan, xinit)
legend('p(t)', 'm(t)', 'l(t)')
  3 Comments
Daniel Jovin
Daniel Jovin on 26 Feb 2018
I'm new to Matlab, so I don't really understand what I did incorrectly and what differentiates my failed solution from the correct solution. But, the problem was that the plot I was generating, Figure 1, was incorrect- the values from the graph were not in the correct range and lacked the periodic nature of the graph from the modeling paper, Fig. 1.

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More Answers (1)

thanos tria
thanos tria on 26 Mar 2019
Edited: Walter Roberson on 26 Mar 2019
Hello, i am trying to solve a non linear system but when i plot the solutions only a straight line in one of the variables appears on the graph, and all the variables just can't get away from the initial conditions. That's my code:
syms c1(t) c2(t) c3(t) c4(t) T Y
Eqns = [diff(c1(t),t) == -0.015*c1+1.8*10^(-14)*c2*c4;
diff(c2(t),t) == 0.015*c1-1.8*10^(-14)*c2*c4;
diff(c3(t),t) == -6*10^(-34)*c3*0.051765*10^(20)*0.2465*10^(20)+0.015*c1;
diff(c4(t),t) == 6*10^(-34)*c3*0.051765*10^(20)*0.2465*10^(20)-1.8*10^(-14)*c2*c4];
[DEsys,Subs] = odeToVectorField(Eqns);
DEFcn = matlabFunction(DEsys, 'Vars',{T,Y});
tspan = [0,50000];
y0 = [0.040923*10^(12) 0 0 0];
[T,Y] = ode45(DEFcn, tspan, y0);
plot(T,Y)
And that's my graph:
It sould have had some curves because it describes how ozon is formulated in the atmosphere. Any suggestions??
  2 Comments
Walter Roberson
Walter Roberson on 26 Mar 2019
I agree that when I use those equations with Maple's numeric ODE solver, that I get distinct curves for each of the functions, for all of Maple's numeric methods that I have tried.
I also find in Maple that using stiff methods improves performance a lot without changing the solution. That would correspond to using routines such as ode23s() in MATLAB --- which produces the same (not so good) result as ode45 except faster.

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