Using a MATLAB function-block in Simulink to generate random numbers

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Niklas
Niklas 2014-6-25
评论： A Jenkins 2014-6-25
Hello!
I've tried to both google this question and search among the questions and answers here, but I've found no definitve answer to my question so I'm making a new one. Hopefully it won't be too much trouble!
I'm creating a simulation in Simulink where I have a "MATLAB function"-block that is supposed to take input from another source (we can consider this source a "Constant"-block) and then apply a random number that is generated from the MATLAB function-block on the input.
My problem is that I get the exact same randomized numbers every single time I run the Simulink simulation. And I was wondering if someone could help me solve my problem?
Here is the code (not all of it, but all of it that matters):
% function MC_output = randomizer(Stat_input)
%#codegen
minrand = 0.1;
maxrand = 1.9;
points = 10;
rand_numbers = Stat_input*minrand + rand(1, points).*(maxrand-minrand);
MC_output = mean(rand_numbers);
end
I've read about this solution, but it doesn't work for me
coder.extrinsic('rng');
rng('shuffle');
In different ways but with no success. Some help would be greatly appriciated! Oh, and btw, I'm using MATLAB R2012a.
Thanks in advance, Niklas

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回答（1 个）

A Jenkins
A Jenkins 2014-6-25
Add also:
coder.extrinsic('rand')
to the beginning of your code.
  2 个评论
Niklas
Niklas 2014-6-25
After adding that MATLAB tells me that the line:
rand_numbers = Stat_input*minrand + rand(1).*(maxrand-minrand);
Gets the following error:
Expected either a logical, char, int, fi, single, or double. Found an mxArray. MxArrays are returned from calls to the MATLAB interpreter and are not supported inside expressions. They may only be used on the right-hand side of assignments and as arguments to extrinsic functions.
Any idea why?
A Jenkins
A Jenkins 2014-6-25
function MC_output = fcn(Stat_input)
coder.extrinsic('rng');
coder.extrinsic('rand')
rng('shuffle');
minrand = 0.1;
maxrand = 1.9;
points = 10;
z=zeros(1, points);
z=rand(1, points);
rand_numbers = Stat_input*minrand + z.*(maxrand-minrand);
MC_output = mean(rand_numbers);
end

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