Two-Channel Event-Triggered Model Predictive Control For Discrete Linear Systems

This paper studies an event-triggered model predictive control problem for constrained discrete-time linear systems in the presence of bounded disturbances. For reducing the communication and computational loads, two different event-triggered strategies are constructed in the sensor and the controller nodes, respectively. The first event trigger is introduced to schedule the transmission of signals from the sensor node to the local controller node; and the second event trigger is employed to determine the instant when the optimal control problem in the MPC-based controller node should be solved. By constructing a feasible control sequence, the sufficient conditions are derived for guaranteeing the feasibility and stability of the closed-loop systems. Finally, a simulation example is provided to illustrate the feasibility and the effectiveness of the proposed strategy.