Output Regulation for Switched Systems: An Event-Triggered Model Predictive Control Approach

Abstract

This paper studies the output regulation problem for switched systems with an event-triggered model predictive control approach. First, an event-triggering strategy is adopted to configure data sampling and communication efficiently. Moreover, the model predictive control approach is considered to optimize the control performance of the closed-loop system. By applying the piecewise Lyapunov function and average dwell time method, sufficient conditions for the solvability of the output regulation problem are given. Then, the design of model predictive controller is transformed into the solution of linear matrix inequalities. Finally, simulation results verify the effectiveness of the proposed method.