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

Hi,
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?

Risposte (1)

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 Commento

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?

Accedi per commentare.

Richiesto:

il 6 Gen 2016

Commentato:

il 14 Gen 2016

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