MIMO neural-network predictive controller design

This paper presents a neural-network predictive control for a class of multi-input multi-output (MIMO) nonlinear systems with time-delay. The MIMO neural-network predictive control law is developed based on the minimization of a generalized predictive performance criterion and the stability of the closed-loop control system is investigated as well. Simulation results reveals that the proposed control gives satisfactory tracking and disturbance rejection performance for the illustrative multivariable systems. Experimental results for heating process of a plastics injection molding machine are performed which have shown efficacy of the proposed method under the condition of set-points and significant plant uncertainties.