Model predictive control: real-time issues and RBF-ANN implementation

Abstract

Model predictive controls are control strategy in which the effect oF the control actions are evaluated many steps in the future to gain an optimal control action. According to this the number of calculations made is very big and it needs some simplifications to use it in real time control tasks. That's why some recurrent formulas will be used. The GPC was realized with ANN using gradient descent algorithm which adjust the parameters of the ANN regulator with RBF.