Hi Jaime,
The long compilation times you're experiencing in Simulink with large buses are likely due to the inefficiencies in the nested loop structure of your MATLAB function, particularly when it processes large datasets. With each additional element in your buses, the computational complexity escalates exponentially, as does the number of iterations required, significantly extending compilation time.
To address this, consider the following optimized function. It leverages dynamic field names and minimizes the need for nested loops, potentially reducing compilation times:
function [output] = selector(bus1, bus2, inputAddress)
output = 0; % Default output initialization
% Assuming 'matrix' is accessible (either global or passed as a parameter)
% and 'numberOfMatrixRows' is defined or substituted with size(matrix, 1)
for i = 1:size(matrix, 1)
% Find the address
if inputAddress == matrix{i, 2} % Address is in the second column
fieldName = matrix{i, 1}; % Field name is in the first column
% Check and retrieve from bus1
if isfield(bus1, fieldName)
output = bus1.(fieldName);
break; % Exit once the field is found
end
% Check and retrieve from bus2
if isfield(bus2, fieldName)
output = bus2.(fieldName);
break; % Exit once the field is found
end
end
end
end
This version employs `isfield` to verify the existence of a field within a bus, then accesses it directly using dynamic field names (`bus1.(fieldName)`), eliminating the need for a secondary loop to identify a match. Importantly, it breaks from the loop upon finding the matching field and setting the output, thereby avoiding redundant iterations.
For further clarification, here's some documentation on `isfield`: https://www.mathworks.com/help/matlab/ref/isfield.html
Thanks,
Karan
