Creating two arrays using Arrayfun
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How can I create two array sets with Arrayfun, I am getting an error with this code structure. thanks
%%Simulink Matlab function Block
function [y,x]=fcn(Az,sm,del,w0,gama,wc,D_ws,e,n_xs,n_ys,n_zs,om,s)
a= 1:1:100;
vc=1:1:100;
y=arrayfun(@fcn,mod(a,10)+1,fix((a-1)./10)+1);
x=arrayfun(@fcn,fix((vc-1)./10)+1);
function [b,c]=fcn(ns,nb,nc)
k_x=0.01;
k_y=0.01;
b=-w0*cos(gama(nb))+ (wc-k_x*w0)*cos(gama(nb)) * (e*cosd(Az(nb))+sm(ns)*cosd(Az(nb)+del(nb))) + ((D_ws+k_y*w0)*cos(gama(nb))) * (e*sind(Az(nb))+sm(ns)*sind(Az(nb)+del(nb)));
c=-n_xs*sin(gama(nc))*cosd(Az(nc)+del(nc)) + n_ys*sin(gama(nc)) * sind(Az(nc)+del(nc)) + n_zs*cos(gama(nc)) + (e/om) * (cos(gama(nc)) * (s(2) * cosd(Az(nc)) + s(1)*sind(Az(nc))) - sin(gama(nc))*sin(del(nc))*(s(3)-om));
end
end
6 comentarios
dpb
el 28 de En. de 2023
Code formatted by dpb...
What are you trying to do here????
You've got nested functions recursive and duplicated function names and even ignoring that, none of the references to them match a function prototype of the same name.
Explain the end object here...
Stephen23
el 28 de En. de 2023
"but I noticed that the for loop blocks simulink blocks and slows down the simulation a lot. "
A well-written loop will be faster than ARRAYFUN.
for loops will be far more efficient than arrayfun; while it's one line of source code, it has to parse the inputs and then build the for...end loop internally to execute. Don't confuse lines of code with efficiency; they're not necessarily at all in conformance with fewer source lines-->faster execution time.
USE THE CODE FORMATTING BUTTON FOR POSTING CODE!!!!
The above uses undefined variables x,y; what are they?
More than likely the arrays can be constructed more efficiently with colon operator and matrix operations unless they're recursive although even then it's probably possible to make use of patterns if have the definition of what it is that is the end result desired.
Assuming x, y are commensurately-sized arrays, the above would appear to be equivalent to
f=repmat(x(:),m,1)+y(:);
which would be "the MATLAB way"...
Alexi
el 28 de En. de 2023
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