Event-Triggered Model Predictive Control for Linear Systems with Bounded Disturbance

The event-triggered model predictive control problem for linear systems with bounded disturbance is investigated in this paper. A new event-triggered mechanism is proposed to save the computational resources during solving the MPC optimization problem. The iterative feasibility and stability of closed-loop system are rigorously derived, which is related to the disturbance. Finally, numerical simulation results are shown to illustrate the effectiveness of proposed algorithm.