Dynamic Event-Triggered Security Control for Networked Control Systems with Cyber-Attacks: A Model Predictive Control Approach

Bin Li; Xinglian Zhou; Zhaoke Ning; Xiaoyi Guan; Ka Fai Cedric Yiu

doi:10.1016/j.ins.2022.08.093

Dynamic Event-Triggered Security Control for Networked Control Systems with Cyber-Attacks: A Model Predictive Control Approach

Bin Li, Xinglian Zhou, Zhaoke Ning, Xiaoyi Guan, Ka Fai Cedric Yiu

Research output: Journal article publication › Journal article › Academic research › peer-review

127 Citations (Scopus)

Abstract

This article studies a dynamic event-triggered security control problem for networked control systems subject to deception attacks and packet dropouts. First, a combined cyber-attack 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 H₂/H_∞ performance. Finally, two examples are simulated to interpret the validity and effectiveness of the proposed design strategy.

Original language	English
Pages (from-to)	384-398
Number of pages	15
Journal	Information Sciences
Volume	612
DOIs	https://doi.org/10.1016/j.ins.2022.08.093
Publication status	Published - Oct 2022

Keywords

Deception attacks
Dynamic event-triggered protocol
Model predictive control
Packet dropouts
Security control

ASJC Scopus subject areas

Software
Control and Systems Engineering
Theoretical Computer Science
Computer Science Applications
Information Systems and Management
Artificial Intelligence

More information

10.1016/j.ins.2022.08.093

http://hdl.handle.net/10397/108952

Cite this

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title = "Dynamic Event-Triggered Security Control for Networked Control Systems with Cyber-Attacks: A Model Predictive Control Approach",

abstract = "This article studies a dynamic event-triggered security control problem for networked control systems subject to deception attacks and packet dropouts. First, a combined cyber-attack 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 H2/H∞ performance. Finally, two examples are simulated to interpret the validity and effectiveness of the proposed design strategy.",

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AU - Guan, Xiaoyi

AU - Yiu, Ka Fai Cedric

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N2 - This article studies a dynamic event-triggered security control problem for networked control systems subject to deception attacks and packet dropouts. First, a combined cyber-attack 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 H2/H∞ performance. Finally, two examples are simulated to interpret the validity and effectiveness of the proposed design strategy.

AB - This article studies a dynamic event-triggered security control problem for networked control systems subject to deception attacks and packet dropouts. First, a combined cyber-attack 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 H2/H∞ performance. Finally, two examples are simulated to interpret the validity and effectiveness of the proposed design strategy.

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Dynamic Event-Triggered Security Control for Networked Control Systems with Cyber-Attacks: A Model Predictive Control Approach

Abstract

Keywords

ASJC Scopus subject areas

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