Fast neural predictive control algorithm

This study presents the idea of a fast algorithm that can be used for the synthesis of the control law in a neural predictive control strategy. It is compared, as computation time and regulation performance, with a similar procedure that uses Brent´s search combined with the golden section search algorithm. The process considered for simulation is a continuous fermentation. The results show that the same regulation performance can be achieved but calculation time and costs are reduced.