Predictive Control 7 - Prediction with Carima models

[@ricardobquintero]

This is the best explanation I've seen of CARIMA model and its relation with GPC, Thank you professor Rossiter

[@medchaouechi842]

The best explanation I've seen of CARIMA model

[@jmg.garcia]

Excellent explanation.

[@pedroandrecamarenagamarra2279]

Thanks from Barcelona

[@rajatsinghal1839]

Crystal clear!

[@aliahmed-ui9fk]

I do understand the all matrices we obtain (Ha, Ca and etc) now i am not able to interpret/understand how can i use these to represent a predicted response of any model graphically?

[@aliahmed-ui9fk]

forexample: I have used my own RLC circuit and obtained its Ha,Ca and etc matrices.But now i cant understand how to plot its predicted response

[@alberro96]

Can anybody help me on how can I code the Cb or Hb matrixes in Python?

[@ahmedkamiss7643]

Thanks a lot for this John. I was following along nicely until I stumbled on CARIMA models. I combed the web searching for a good explanation on this but couldn't find one. Has this been covered elsewhere ? Also, on the next lecture you provide the equation for DELTA and are assuming students know this. Can you (or someone from the community) please say where this was covered (perhaps under a different topic)? Thanks again!

[@mohemahmoude3356]

what is the easy way to determine (Ca, Ha ,Cb ,Hb) dimensions

[@johnrossiter2323]

Row dimenision depends on the horizons you want, but the Ca matrices are square and the Hb have a number of columns one less than the number of coefficients in the polynomial.Anthony

[@ltc0060]

One question, how can we be sure that the inverse of matrix Ca exists ? Or from a more practical point of view, is there any chance that the inverse of it may not exists ?

[@ltc0060]

+ltc0060 In the next video there is a good answer for this.