Dynamic event-triggered predictive control strategy for networked semi-Markov jump systems

Abstract

The coexistence of network denial of service (DoS) attacks and trigger transmission mechanism poses a challenge to the stability and control accuracy of semi-Markov jump systems (S-MJSs). DoS attacks with random characteristics and event-triggered mechanisms with dynamic parameters are studied in this paper. The communication topology jump process between multiple sub-actuators is modeled as a semi-Markov chain, and a S-MJSs with dual-channel DoS attacks and dynamic event-triggered mechanism (DETM) of sensor-to-controller (S-C) channel is obtained. In order to match the predictive compensation sequence with the trigger time of the S-C channel, a dynamic event-triggered predictive control (ETPC) strategy is designed by combining the controller with the trigger. In addition, the dynamic ETPC strategy proposed in this paper is applied to the tracking control of multi-motor, which effectively guarantees the tracking performance of multi-motor. Finally, the feasibility and superiority of the control strategy are verified by comparing with the network predictive control (NPC) strategy and the static ETPC strategy.