This paper presents the possibility of replacing the mathematical
optimizer in the Model Predictive Control Algorithm (MPC) with a
Feedforward Neural Network Optimizer (FNNO). The optimizer
trained offline to reduce the cost function. This maintai
n the system
model of the system, which is essential in MPC to get accepted
accuracy. we solve optimization problem faster than the algorithms
of traditional optimization, which we built, based on digital
computing.
