How to plot a vector map for a differential system(in ode45) with a switch condition ?

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% y is output from ode45
[gridx1,gridy1]=meshgrid(logspace(thetamin,thetamax,length(y(1:fix(end/2),1))),logspace(thetadotmin,thetadotmax,length(thetadot(1:fix(end/2),2))));
quiver(y(1:fix(end/2),1), y(1:fix(end/2),2),gridx1,gridy1);%Only plotted the first half of the output to avoid the even higher frequency areas and used logspace in place of linspace to avoid hanging my laptop
I wish to plot a vector map for a switching system along the switching surface h. So far, I tried quiver, which just hangs my laptop when the high frequency switching condition occurs.
Example problem:
  2 Commenti
Vignesh Ramakrishnan
Vignesh Ramakrishnan il 15 Giu 2022
Modificato: Vignesh Ramakrishnan il 15 Giu 2022
Sorry, I can't. I should've posted a toy problem instead. Also, the code has a lot of event triggers etc which would take away the focus from my main problem here i.e. scaling.

Accedi per commentare.

Risposte (1)

Sam Chak
Sam Chak il 14 Giu 2022
Modificato: Sam Chak il 14 Giu 2022
Since you didn't provide the code, the following involves some guesswork in an attempt to reproduce/duplicate your graph.
The simplest form of is probably a additive function, and so I've tried . But, your scale at is relatively small.
k = 0;
fv1 = @(t, x, y) y;
fv2 = @(t, x, y) k*sin(t) + 5.2*sign(-((4/10)*x + y));
opt = odeset('RelTol', 1e-4, 'AbsTol', 1e-6);
[t, v] = ode45(@(t, x) ([fv1(t, x(1), x(2)); fv2(t, x(1), x(2))]), [0 20], [10 0], opt);
Next is plotting.
subplot(2,1,1)
plot(t, v(:,1), 'linewidth', 1.5)
subplot(2,1,2)
plot(v(:,1), v(:,2), 'linewidth', 1.5)
hold on
And then the quiver plot is added.
[X, Y] = meshgrid(0:10/14:10, -4:4/7:0); % Do NOT make very fine mesh partitions
U = Y;
V = 5.2*sign(-((4/10)*X + Y));
quiver(X, Y, U, V, 0.5)
I'll let the Experts to handle your case for , which indicates an non-autonomous system. Probably require quiver3() to show the evolution of the direction field in 3D as the system response is propagated forward in time t, as demonstrated by Dr. @Star Strider in this solution:

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