MPC from Basics to Learning-based Design (2/2)

[@rihanaarondsilvaiitbombay8398]

Found this very useful. Thank you for sharing the lecture.

[@mahendrakumargohil6384]

Very Informative, Thank you !

[@yaroJT]

Thank you for sharing this great lecture! I find a bit confusing that you use the NRMSE in the sense of "fit", i.e. 100% when a model perfectly fits data. From my experience and according to the Wikipedia (NRMSD), the NRMSE is the RMSE normalized by the mean value or range, i.e. NRMSE=0% when a model perfectly fits data.

[@haneneyacoubi6491]

Thank u! Very interesting

[@cran8546]

hi, where is the process of optimizing iteration? Seems you trained the prediction model by using RNN, but in the following, I didn't see the explicit control(search for optimal u(t)) process. Could you be brief to the point? thank you.

[@cran8546]

Amend for my question, in slide TRAINING RNNS BY SEQUENTIAL LEAST-SQUARES you bring controller in, is that controller merged in RNN training process?

[@focusonlife3242]

Many thanks

[@derrick1829]

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