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using element in a vector imported from workspace in simulink

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Elinor Ginzburg
Elinor Ginzburg 2024 年 7 月 18 日 9:36
Hi,
I don't have much experience with simulink, and I couldn't find exactly what I was looking for online, I hope someone might help:
I have a vector x which I pass to simulink from the workspace. Now, I'm trying to implement a used defined function block:
function y = fcn(lambda, x, e1, e2)
if x < sqrt(e1*lambda)
y = sqrt(e1*lambda) - x;
elseif x > sqrt((1/e2)*lambda)
y = sqrt((1/e2)*lambda) - x;
else
y = 0;
end
where lambda is calculated in the simulation in previous block (the computation is correct) and e1, e2 are scalar values of type double. I pass the parameters from the workspace as follows:
x_data.time=t';
x_data.signals.values = x';
e1_data.time=t';
e1vec = repelem(e1, length(x));
e1_data.signals.values = e1vec';
e2_data.time=t';
e2vec = repelem(eta_dis, length(x));
e2_data.signals.values = e2vec';
I get the following error:
Index exceeds array dimensions. Index value 0 exceeds valid range [1-1] for array 'x'.
Error in 'pmp_sim/MATLAB Function' (line 3)
x = x(t);
I thought the a problem is that simulink treats these vectors as one block or something, as I read online, when I try to treat these elements in the function as vectors, meaning:
function y = fcn(lambda, x, e1, e2)
x = x(t);
e1 = e1(t);
e2 = e2(t);
if x < sqrt(e1*lambda)
y = sqrt(e1*lambda) - x;
elseif x > sqrt((1/e2)*lambda)
y = sqrt((1/e2)*lambda) - x;
else
y = 0;
end
where t is the simulation clock, I get the following error:
Domain error. To compute complex results from real x, use 'sqrt(complex(x))'.
Error in sqrt.m (line 13)
coder.internal.error('Coder:toolbox:ElFunDomainError',mfilename);
Error in 'pmp_sim/MATLAB Function' (line 8)
can someone please explain to me how should I treat these vectors that I import to simulink model from workspace?
Thank you for you time and attention.
  1 件のコメント
Ashutosh Thakur
Ashutosh Thakur 約14時間 前
Hi Elinor,
The error message in the end suggests that Complex number is getting evaluated and root cause cannot be known without model and the data which is passed to it. Could you also share the model and data as well?
Thanks.

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