Dynamic event-triggered security control for networked control systems with cyber-attacks: A model predictive control approach

This article studies a dynamic event-triggered security control problem for networked control systems subject to deception attacks and packet dropouts. First, a combined cyberattack model is proposed, which utilises two sets of independent stochastic sequences to reflect randomly occurring cyber-attacks. Subsequently, a dynamic event-triggered protocol is constructed to relieve the restricted bandwidth pressure by reducing the data transmission of the communication channel from the plant to the controller. With the consideration of randomly occurring deception attacks, packet dropouts, and dynamic event-triggered protocols, an online model predictive control algorithm is established to ensure the stochastic stability of the closed-loop model with expected H-2/H-infinity performance. Finally, two examples are simulated to interpret the validity and effectiveness of the proposed design strategy. (C) 2022 Elsevier Inc. All rights reserved.

Automated summary

This article investigates a dynamic event-triggered security control problem in networked control systems under deception attacks and packet dropouts. A combined cyberattack model is proposed to reflect randomly occurring cyber-attacks. A dynamic event-triggered protocol is constructed to reduce data transmission and relieve bandwidth pressure. An online model predictive control algorithm is established to ensure stochastic stability and expected performance. Two examples are simulated to verify the effectiveness of the proposed design strategy.