How to validate nlhw model?

To estimate the Hammerstein-Wiener model I'm using nlhw as below: sys = nlhw(z1,Orders,InputNL,OutputNL); z1 is iddata that I'm using as training data to create sys. The question is how I can validate my model (sys)? Can I use 'sim' command? If yes, with the same data set (z1)? Or should I use new sets of data for validation? [ys,y_sd] = sim(sys,z1);
Thanks, Ana

1 Comment

Hi Ana,
In order to compare the 'iddata' with the model, ' compare ' function can be used. The syntax is
compare(z1,sys);
Here is a link to an example demonstrating this feature.

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Asked:

on 30 Aug 2018

Commented:

on 4 Sep 2018

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