I would make a, b and c parameters of my mask. More on this here. You could also specify these variables in the mask initialization commands.
Masking a system with variability
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I have a model M1 containing several variable subsystems. The variant controls for these variant subsystems depend on a set of parameters a, b and c. These parameters a, b and c were added to the model workspace and set as arguments I have created a model mask for this model, containing all parameters on which the variant control depends. I now want to use M1 as a model reference in a model M2 and select the variant to use through mask parameters.
However, when doing this, I cannot simulate the model. The diagnostic viewer shows an "undefined function or variable" error.
Adding parameters a, b and c to the base workspace seems to fix this, but that is not ideal since I may have multiple instances of the referenced model M1, each with a different variant selected.
What is the best way of dealing with this?
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