Output Tracking Predictive Control of Uncertain Networked Control Systems

This paper investigates the output tracking control problem for uncertain networked control systems (NCSs), where two-channel (i.e., feedback and forward channels) random communication constraints are considered. By establishing an augmented system by forming an augmented state consisting of the system state and the output tracking error, a networked predictive control scheme is proposed to make the system output track a reference input. A closed-loop stability condition independent of unknown uncertain parameters is obtained by using the Lyapunov stability theory and the linear matrix inequality technique. Finally, the validity of the proposed scheme is verified by the numerical simulation on a servo motor system.