Switching Model Predictive Control based on Self-triggering Mechanism

Abstract

In this paper, a self-triggering model predictive control strategy based switched cost function is proposed for a networked linear continuous-time system. Switched cost functions are taken into consideration to enhance performance of the networked linear continuous-time system and meet more complex industrial environmental requirements. Much network burden is reduced by applying the self-triggered strategy. Asymptotic stability of the networked linear system is been obtained with average dwell-time. Finally, a numerical simulation is given to illustrate the effectiveness of the proposed method.