How to set prediction horizon explicitly in pem() -function for parameter identification?

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I'd like to test pem() -function with different N-step long prediction horizons such that the parameter identification would be done based on N-step prediction (multiple step prediction) with the given model. Where can I adjust the prediction horizon with this function when called in command line?

Answers (1)

Adithya Addanki
Adithya Addanki on 11 Jan 2016
Hi Joonas,
Please refer to the 'opt' argument section in the link below:
You may be able to do this using the first model type (idss). For more information please refer to the usage of the same.
Thank you, Adithya
  1 Comment
Joonas on 14 Jan 2016
Hi Adithya,
unfortunately I'm using idgrey model as a model type and I'd like to adjust the prediction horizon in pem() -function with this grey-box model. Is this possible? I haven't found a way to do this so far.
Thanks anyway for your suggestion! I think that it applies only for idss -models.
Any solutions with idgrey models?

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