  In this paper, a framework with complete numerical investigation is proposed
regarding the feasibility of constrained Nonlinear Model Predictive Control
(NMPC) design using Data-Driven model of the cost function. Although the idea
is very much in the air, this paper proposes a complete implementation using
python modules that are made freely available on a GitHub repository. Moreover,
a discussion regarding the different ways of deriving control via data-driven
modeling is proposed that can be of interest to practitioners.
