Keywords

Abstract

The paper compares the traditional model predictive control (MPC) with the proposed predictive inverse neurocontrol (PIN) technique. The PIN approach allows to avoid the online optimization procedure and thus sufficiently reduces the need for computing power and becomes especially important for the control of the plants with fast dynamics. Results of model and physical experiments are shown.