Event-triggered model predictive control for wireless networked control system

In order to save communication consumption in the wireless nodes of networked control systems, this paper investigates the stabilization problem of an event-triggered constrained model predictive control. A state-feedback predictive control law is designed by solving an infinite horizon performance objective and an event-triggered condition involving the norm of a measurement error is derived based on input-to-state stability. Under the proposed mechanism, the measurements are sent by wireless network and the predictive control optimization is implemented only when the triggering conditions are satisfied. This approach not only can alleviate the energy consumption but also achieves the desired control performance and constraints satisfaction. Finally, an example is given to illustrate the effectiveness of the proposed results.