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

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Amal George M
Amal George M 2018 年 9 月 4 日
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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