I am stuck with the following Problem: I have to solve a System of linear equations:
A*x = b (where A is 25x25 Matrix and b and x are 25x1 vectors)
at every timestep of a SIMULINK model. I am currently doing so with an embedded MATLAB function Block which does simply something like this:
function x = fcn( A , b ) %#codegen
x = mldivide(A,b);
end
The Problem is that I need to get rid of the MATLAB function Block. It really feels like a stupid question but is there a possibility to execute the mldivide-order with a SIMULINK Block?
Thank you so much in advance

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Sebastian Castro
Sebastian Castro el 2 de Mayo de 2017
Editada: Sebastian Castro el 2 de Mayo de 2017

3 votos

Since you're using a square A matrix, you should be able to use the Divide block (Simulink > Math Operations). If you set its "Multiplication" parameter to "Matrix", a divide sign means you're passing in a matrix inverse.
Sebastian

2 comentarios

Maximilian Binzler
Maximilian Binzler el 2 de Mayo de 2017
Thank you so much for this answer, it is really helpful! In the Matlab Documentation for mldivide is written "If A is a square matrix, A\B is roughly equal to inv(A)*B, but MATLAB processes A\B differently and more robustly." Do you know if the Simulink divide Block is as efficient as mldivide?
Christoph Wellnhofer
Christoph Wellnhofer el 18 de Jul. de 2023
Editada: Christoph Wellnhofer el 18 de Jul. de 2023
@Maximilian Binzler you can also use the singular value decomposition Simulink block which also works for non-square matrices and has better numerical stability.

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