Problem with the use of “eig” in a Simulink Matlab function

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Hi,
we are implementing a Simulink model to retrieve the components of Quaternions from attitude determination block. While using the command "eig" in a matlab function, in order to retrieve the eigenvector corresponding to the maximum eigenvalue, with this procedure:
function q_eigen = fcn(K)
[q_e,lambda] = eig(K);
[lambda_max, col] = max(max(lambda));
q_eigen = q_e(:,col);
end
Simulink dispalys the error "Inferred complexity ("on") for data "q_eigen" does not match back propagated complexity ("off") from Simulink."
We have tried to put "real" command before q_e, but we obtain the same result.
  2 Comments
Christine Tobler
Christine Tobler on 3 Jan 2022
Edited: Christine Tobler on 3 Jan 2022
I don't know much about this, but the following older question seems related
and has some answers that to me seem promising to try out.
Using
q_eigen = real(q_eigen);
at the end of the function might remove this error, but unless you are very certain these eigenvectors are actually guaranteed to be real, it will mean returning a wrong result, since the imaginary component shouldn't just be discarded if it exists.

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Answers (1)

Sulaymon Eshkabilov
Sulaymon Eshkabilov on 28 Dec 2021
Edited: Sulaymon Eshkabilov on 28 Dec 2021
Maybe you can try max(max(real(lambda))) instead of real(q_e) to see your Simulink model simulation even though your eigenvalues are complex-valued.

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