Event-triggered predictive control for networked control systems with DoS attacks

Abstract

This paper presents a new model-based event-triggered predictive control (MB-ETPC) protocol to stabilize networked control systems (NCSs) subject to denial-of-service (DoS) attacks. Firstly, we introduce two kinds of DoS attack models, which are applied to sensor-to-controller and controller-to-actuator communication channels, then we give the corresponding schemes according to the different DoS attacks. Secondly, on the premise of ensuring the stability of NCSs, the mechanism can not only reduce the pressure of network bandwidth, but also can effectively compensate for the negative impact of DoS attacks on system performance. Next, considering the existence of DoS attacks and communication delays, we construct a closed-loop system model, which combines the model-based network control systems, the predictive control scheme and the event-triggered control (ETC) scheme all together. Based on the model, the sufficient condition of NCSs stability is given in the form of linear matrix inequalities (LMIs) by using Lyapunov theory method. Finally, two illustrative simulation examples are presented to demonstrate the effectiveness of the proposed method.