Why is my variable being changed without assignment

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Robyn Galliers
Robyn Galliers el 5 de Mayo de 2024
Comentada: Sam Chak el 6 de Mayo de 2024
Hello,
I have searched quite a lot on Google and cannot find anything related to what is happening, and just in general programming terms I cannot understand it either. I'm stumped and hope someone can shed some light. An analogy of what seems to be happening is this:
A = 1
B = A + 2 = 3 (and now A = 3!!!)
This makes no sense to me, how can the original value of A be getting changed without. This is my first time using Live Script and symbols, so perhaps there is something different around those concepts.
My code is below. The issue is that when I substitute 0 into yh(zero), it is also changing the value of yh. Thus when I perform a subs to calc yhNat (last line), the value it is referencing is no longer yh but actually yh(zero). If I leave out the calc of yh(zero) then yhNat calculates perfectly (15*exp((-2*t)) + 16*exp((-3*t))). The only thing I can think of is because the initial value assigned to both yh and yh(zero) is the same, perhaps Matlab is conflating/linking them somehow. Originally I just made yh(zero) a subs of yh, replacing all t's with 0, but that didn't work, hence the workaround.
Any help would be greatly appreciated, as I am fully stuck and all my years of messing around with programming languages aren't helping at all to understand why this is happening.
% Homogenous solution
InitialVoltage = 1.5;
InitialCurrent = 2;
c_UD = 1/6;
%from earlier code roots.1 = -3, roots.2 = -2
syms yh yh(zero) yhNat dyh(t) dyh(zero) c_1 c_2
yh = c_1*exp(roots(1)*t) + c_2*exp(roots(2)*t)
dyh(t) = diff(yh)
dyh(zero) = subs(dyh(t),[t],[0]) == InitialCurrent/c_UD
%Evaluate yh(t) at t = 0:
yh(zero) = c_1*exp(roots(1)*t) + c_2*exp(roots(2)*t); %######### These two lines break it
yh(zero) = subs(yh(zero), [t], [0]) == vpa(InitialVoltage) %######### These two lines break it
%coefficients = solve([dyh(zero), yh(zero)], [c_1, c_2])
%Natural response
yhNat = subs(yh ,[c_1, c_2], [16, 15])
  3 comentarios
Robyn Galliers
Robyn Galliers el 6 de Mayo de 2024
Hi Paul,
Thanks for your reply. Yes, I very much expected yh and yh(zero) to be different variables.I thoughts symbols were a bunch of characters that were treated as one entity, i.e. brackets wouldn't be counted.
I am trying to recreate a worked example from my textbook to help me understand what is going on and then later build upon. It is the natural response of a RLC circuit, i.e. a 2nd order differential equation. An excerpt from the book is attached.
As for the roots bit, I am using an equation solver earlier in my live script to calculate them but didn't want to include all my code. But essentially it is doing
syms s;
CharEqn = s^2 + (r_UD/l_UD)*s + (1/(l_UD*c_UD)) == 0;
roots = solve(CharEqn,s,"MaxDegree",4);
Robyn Galliers
Robyn Galliers el 6 de Mayo de 2024
Paul,
I just changed my variable from yh(zero) to yhzero, and it all suddenly works, so you were bang on the money. The hours I wasted yesterday pleading with my computer to make sense to me, and it was all because of that :(
Thank you for your help, I greatly appreciate it!

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Respuesta aceptada

Sam Chak
Sam Chak el 6 de Mayo de 2024
Editada: Sam Chak el 6 de Mayo de 2024
Considering the given 1st-order differential equation with the parameters solved by @Sulaymon Eshkabilov, are the following responses expected? If that's the case, then it appears that this is indeed a 2nd-order system since it possesses two eigenvalues (a technical term for the roots in this context).
root = [-3, -2];
c1 = -15.0;
c2 = 16.5;
dyh = @(t, y) root(1)*c1*exp(root(1)*t) + root(2)*c2*exp(root(2)*t);
t = 0:0.01:6;
InitVol = 1.5;
c_UD = 1/6;
InitCur = dyh(0, InitVol)*c_UD
InitCur = 2
sol = ode45(dyh, t, InitVol);
[y, yp] = deval(sol, t);
figure(1)
subplot(211)
plot(t, y), grid on, xlabel('Time'), ylabel('Voltage')
subplot(212)
plot(t, yp*c_UD), grid on, xlabel('Time'), ylabel('Current')
Comparison with the simulation of a 2nd-order system:
%% State-space system
A = [0, 1; -(root(1)*root(2)), (root(1) + root(2))];
B = [0; 1];
C = diag([1, c_UD]);
D = 0;
sys = ss(A, B, C, D)
sys = A = x1 x2 x1 0 1 x2 -6 -5 B = u1 x1 0 x2 1 C = x1 x2 y1 1 0 y2 0 0.1667 D = u1 y1 0 y2 0 Continuous-time state-space model.
ev = eig(sys) % check if the system has the same eigenvalues as the roots
ev = 2x1
-2.0000 -3.0000
<mw-icon class=""></mw-icon>
<mw-icon class=""></mw-icon>
x0 = [InitVol; InitCur/c_UD];
u = zeros(1, numel(t));
figure(2)
lsim(sys, u, t, x0), grid on
  3 comentarios
Sam Chak
Sam Chak el 6 de Mayo de 2024
I understand what you're looking for. If you want to display the analytical solution in a format similar to what is shown in the textbook, you can utilize the 'dsolve()' command, which is the standard method in MATLAB for symbolically finding the analytical solution of a differential equation.
However, the approach demonstrated by @Sulaymon Eshkabilov follows the traditional pen-and-paper procedure for solving the differential equation, just like in the textbook.
syms y(t)
%% parameters
InitVol = 1.5;
c_UD = 1/6;
InitCur = 2;
%% setup differential equation and initial values
Dy = diff(y,t);
DiffEqn = diff(y,t,2) + 5*Dy + 6*y == 0;
y0 = [y(0)==InitVol, Dy(0)==InitCur/c_UD];
%% Call dsolve
ySol(t) = dsolve(DiffEqn, y0);
ySol(t) = expand(ySol);
ySol(t) = vpa(ySol)
ySol(t) = 
Sam Chak
Sam Chak el 6 de Mayo de 2024
@Robyn Galliers: You're using code I don't recognise...
No need to worry! The state-space method (utilizing ss, eig, lsim) is typically covered in Year 3 of the curriculum. However, "Signals and Systems" is usually taught in Year 2.
From the 2nd-order differential equation
, where the external input signal (on right-hand side) is 0,
it can be rearranged to become
.
Next, let the state variables be
,
then we have
.
.
Rewrite the equations in matrix form:
State equation
Output equation

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Más respuestas (1)

Sulaymon Eshkabilov
Sulaymon Eshkabilov el 6 de Mayo de 2024
In your provided code, a couple of inconsistencies.
A first one is that roots()) is a MATLAB's builtin function. And if you want to assign a variable root, then it should be done in this way:
root = [-3, -2];
% It can be proceed:
% Homogenous solution
InitialVoltage = 1.5;
InitialCurrent = 2;
c_UD = 1/6;
% Assign the variable root values:
root= [-3, -2];
syms yh yh(zero) yhNat dyh(t) dyh(zero) c_1 c_2
yh = c_1*exp(root(1)*t) + c_2*exp(root(2)*t)
yh = 
dyh(t) = diff(yh, t)
dyh(t) = 
dyh(zero) = subs(dyh(t),t,0) == InitialCurrent/c_UD
dyh(zero) = 
% Evaluate yh(t) at t = 0:
yh(zero) = c_1*exp(root(1)*t) + c_2*exp(root(2)*t); %######### These two lines break it
yh(zero) = subs(yh(zero), t, 0) == vpa(InitialVoltage) %######### These two lines break it
yh(zero) = 
Note how the solutions are found and validated:
% Solutions:
coefficients = solve([dyh(zero), yh(zero)], [c_1, c_2])
coefficients = struct with fields:
c_1: -15.0 c_2: 16.5
Solution = [coefficients.c_1, coefficients.c_2]
Solution = 
% Validation:
yhNat = subs(yh ,[c_1, c_2], Solution)
yhNat(zero) = 
Math works :)
All the best!
  1 comentario
Robyn Galliers
Robyn Galliers el 6 de Mayo de 2024
Editada: Robyn Galliers el 6 de Mayo de 2024
Hi there,
Thanks for your reply. I have just explained about the roots in my response to the previous reply, I am using a solver to calculate the roots. But good point on roots() being a built-in function. I also attached to that response a screenshot of the textbook example I am working through.
The problem with the code you have above is that the final line is stil equating yhNat(zero) to 1.5, when it should be 16.5exp(-2t) - 15exp(-3t). In my mind it should take yh (c1exp(-3t)+c2exp-2t) and subs in the calculated coefficients values. But for some reason it is taking yh(zero) and subsing in the coefficient values.
The previous respondant suggested it was because yh and yh(zero) are not two different variables, so I might just have to pick different variables names. It's annoying as I wanted to try write them as close to the textbook as possible, but I wasted hours yesterday trying to write y_h(t), y_h(0), dy__h(t)/dt etc. Ideally I would be able to write the formulas exactly like in the textbook, but Matlab still be able to solve them.

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