I need help solving a system of differential equations. The equations are given below, in matrix form. The problem that I'm having is regarding the fact that I have time dependant elements in the matrices.

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Walter Roberson
Walter Roberson el 14 de Ag. de 2020
You have to loop on the ode45() call, like
mint = 0; maxt = 60;
x0 = appropriate vector
all_t = {}:
all_x = {};
while true
[t, x] = ode45(YourFunction, [mint maxt], x0, opts);
all_t{end+1} = t;
all_x{end+1} = x;
mint = t(end);
if mint == maxt; break; end %we are done
x0 = x(end,:);
end
It is okay if YourFunction has if statements in it, as long as they always evaluate to the same thing for any one call to ode45()
Jelena Kresoja
Jelena Kresoja el 14 de Ag. de 2020
Im so sorry i literally dont get whats written here, or where im supposed to put this.....

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Respuestas (2)

hosein Javan
hosein Javan el 10 de Ag. de 2020
if you are solving a circuit with time-variant capacitors then your state equations are no longer in "Xdot=A*x+B*U", and they are expressed in general form "Xdot=f(X,U)". you have use ode solvers.

Walter Roberson
Walter Roberson el 14 de Ag. de 2020
Rs = 1; %systemic resistance
Rm = 0.005; %mitral valve resistance
Ra = 0.001; %aortic valve resistance
Rc = 0.0398; %chracteristic resistance
Cr = 4.4; %left atrial compliance
Cs = 1.33; %systemic compliance
Ca = 0.08; %aortic compliance
Ls = 0.0005; %inertance in aorta
hr = 60; %hear rate
Emax = 2; %max elastance
Emin = 0.06; %min elastance
tc = 60/hr;
t = 0:0.01:tc;
Tmax = 0.2+0.15*tc;
syms t
syms x1(t) x2(t) x3(t) x4(t) x5(t)
x = [x1; x2; x3; x4; x5];
r = @(v) heaviside(v) * v
C(t) = 1./((Emax-Emin)*(1.55.*(((((t./Tmax)./0.7).^1.9)./(1+(((t./Tmax)./0.7).^1.9))).*(1./(1+(((t./Tmax)./1.17).^21.9)))))+Emin);
Cdot = diff(C,t);
M1 = [-Cdot./C, 0, 0, 0, 0;
0, -1./(Rs.*Cr), 1./(Rs.*Cr), 0, 0;
0, 1./(Rs.*Cs), -1./(Rs.*Cr), 0, 1./Cs;
0, 0, 0, 0, -1./Ca;
0, 0, -1./Ls, 1./Ls, -Rc./Ls];
M2 = [1./C(t) , -1./C(t);
-1./Cr, 0;
0, 0;
0, 1./Ca;
0, 0];
M3 = [r(x2(t)-x1(t))./Rm; r(x1(t)-x4(t))./Ra];
dx = diff(x);
eqn = dx(t) == M1(t)*x(t) + M2*M3;
%now follow odeFunction first example
[eqs,vars] = reduceDifferentialOrder(eqn,x(t));
[M,F] = massMatrixForm(eqs,vars);
f = M\F;
odefun = odeFunction(f,vars);
%hen
initConditions = [vector of 5 values]; %[x1(0), x2(0), x3(0), x4(0), x5(0)];
tspan = [0 10]; %or as appropriate
mint = tspan(1);
maxt = tspan(end);
x0 = initConditions;
all_t = {};
all_x = {};
opts = odeset('events', @eventsFun);
while true
[t, x] = ode45(odefun, [mint, maxt], x0, opts);
all_t{end} = t;
all_x{end} = x;
mint = t(end);
x0 = x(end,:);
if mint == maxt; break; end
end
function [val, isterminal, dir] = eventsFun(t,x)
val(1) = x(2) - x(1);
val(2) = x(1) - x(4);
isterminal = [0; 0];
dir = [0; 0];
end
  1 comentario
Jelena Kresoja
Jelena Kresoja el 14 de Ag. de 2020
This is the error that I get now:
Index exceeds matrix dimensions.
Error in odezero (line 60)
if (tL == t) && any(vL(indzc) == 0 & vR(indzc) ~= 0)
Error in ode45 (line 353)
odezero(@ntrp45,eventFcn,eventArgs,valt,t,y,tnew,ynew,t0,h,f,idxNonNegative);
Error in opet_jebeno (line 49)
[t, x] = ode45(odefun, [mint, maxt], x0, opts);

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