Regular Papers

International Journal of Control, Automation, and Systems 2024; 22(10): 3108-3116

https://doi.org/10.1007/s12555-024-0423-1

© The International Journal of Control, Automation, and Systems

Design of H∞ Control Strategies With Dynamic Event-triggered Scheme Under Markovian Deception Attacks

Heng Zhan, Jie Wu, Lingli Cheng, Xisheng Zhan*, and Huaicheng Yan

Hubei Normal University

Abstract

This paper presents a dynamic event-triggered output feedback controller for networked control systems under Markovian deception attacks. A dynamic event-triggered scheme is applied to curtail redundant sensor-toobserver data transfers. Given the prevalence of deception attacks in network signal transmission, these are modeled by a Markov process, and construct an augmented system. Utilizing Lyapunov stability theory, conditions are established for the system’s asymptotic stability. Controller gains and event-triggering parameters are derived through the solution of linear matrix inequalities. Simulation results substantiate the controller’s effectiveness in countering the impacts of network attacks on the NCSs.

Keywords Deception attacks, dynamic event-triggered scheme, Markov process, networked control systems, output feedback control.

Article

Regular Papers

International Journal of Control, Automation, and Systems 2024; 22(10): 3108-3116

Published online October 1, 2024 https://doi.org/10.1007/s12555-024-0423-1

Copyright © The International Journal of Control, Automation, and Systems.

Design of H∞ Control Strategies With Dynamic Event-triggered Scheme Under Markovian Deception Attacks

Heng Zhan, Jie Wu, Lingli Cheng, Xisheng Zhan*, and Huaicheng Yan

Hubei Normal University

Abstract

This paper presents a dynamic event-triggered output feedback controller for networked control systems under Markovian deception attacks. A dynamic event-triggered scheme is applied to curtail redundant sensor-toobserver data transfers. Given the prevalence of deception attacks in network signal transmission, these are modeled by a Markov process, and construct an augmented system. Utilizing Lyapunov stability theory, conditions are established for the system’s asymptotic stability. Controller gains and event-triggering parameters are derived through the solution of linear matrix inequalities. Simulation results substantiate the controller’s effectiveness in countering the impacts of network attacks on the NCSs.

Keywords: Deception attacks, dynamic event-triggered scheme, Markov process, networked control systems, output feedback control.

IJCAS
October 2024

Vol. 22, No. 10, pp. 2955~3252

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