How to solve a system of n differential equations?
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Hello everyone, I got the solution below from the help, I tried an example with a 3x3 system and it runs ok. However, when I try to apply it to my real system, I can not find an answer. Do you have any idea why?
Example:
syms x(t) y(t)
A = [1 2; -1 1];
B = [1; 1];
Y = [x; y];
odes = diff(Y) == A*Y + B;
C = Y(0) == [2; -1];
[xSol(t), ySol(t)] = dsolve(odes,C);
My problem:
clear; close 'all'; clc;
syms T1(t) T2(t) T3(t) T4(t) T5(t)
syms x(t) y(t) z(t) w(t) p(t)
A = [-81 1 0 0 0
0.5 -0.56 0.02 0.04 0
0 0.004 -0.008 0.004 0
0 0.267 0.13 -1.4 1
0 0 0.273 3 -82.1];
B = [24000;0;0;1.333;6300];
Y = [x; y; z; w; p];
odes = diff(Y) == A*Y + B;
C = Y(0) == [300; 300; 300; 300; 300];
[xSol(t), ySol(t), zSol(t), wSol(t), pSol(t)] = dsolve(odes,C);
2 个评论
Walter Roberson
2018-3-31
R2018a finds a solution. It does, however, depend upon an arbitrary constant of integration, which would tend to suggest that dsolve thinks there should be one more initial condition.
采纳的回答
Star Strider
2018-3-31
You appear to have a dynamic system. The Control System Toolbox would be more appropriate.
One way to solve it would be to convert it to an anonymous function and solve it with ode45:
[VF,Subs] = odeToVectorField(odes)
Sys = matlabFunction(VF,'Vars',{'t','Y'})
Y0 = [300; 300; 300; 300; 300];
[T,Y] = ode45(Sys, [0 5], Y0);
figure(1)
plot(T,Y)
grid
lgnd = regexp(sprintf('%s\n',Subs), '\n', 'split');
legend(lgnd(1:end-1), 'Location','E')
5 个评论
Star Strider
2018-3-31
Not that I’m aware of.
You can try something like this, although you would then have to manually copy the output and paste it to your syms call (without the single quotes):
TV = sprintf('T%d(t) ', 1:10)
TV =
'T1(t) T2(t) T3(t) T4(t) T5(t) T6(t) T7(t) T8(t) T9(t) T10(t) '
I know of no way to do it programmatically.
Walter Roberson
2018-3-31
You posted a solution in https://www.mathworks.com/matlabcentral/answers/391756-how-to-declare-time-dependent-symbolic-array#answer_312845 and I posted a one-line solution in https://www.mathworks.com/matlabcentral/answers/222866-time-dependence-array-in-dae-symbolic-math-toolbox#comment_551734
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