Adaptive event-driven synchronisation control for Lur'e chaotic systems facing actuator faults subject to hybrid attacks

This work examines the problem of adaptive event-triggered synchronization for discrete-time Lur'e systems subjected to actuator faults and hybrid cyber-attacks. An adaptive event-triggering framework is developed to mitigate the influence of these disruptions while simultaneously lowering communication traffic over constrained networks. The proposed design incorporates a Lyapunov-Krasovskii functional to derive synchronization conditions that guarantee the asymptotic stability of the resulting error dynamics. A numerical study based on the discrete-time Chua's circuit is included to illustrate the performance and robustness of the developed control strategy.

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Publication Details

Journal
International Journal of Systems Science
Published
2026-08-21
DOI
https://doi.org/10.1080/00207721.2026.2710297
Primary Topic
Neural Networks Stability and Synchronization
Type
article
Field-Weighted Citation Impact
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article

Adaptive event-driven synchronisation control for Lur'e chaotic systems facing actuator faults subject to hybrid attacks

Grienggrai Rajchakit, Mohamad Muslikh, K. Asmiya Banu, C. P. Lim et al.
International Journal of Systems Science
Neural Networks Stability and Synchronization
article

Adaptive event-driven synchronisation control for Lur'e chaotic systems facing actuator faults subject to hybrid attacks

Grienggrai Rajchakit, Mohamad Muslikh, K. Asmiya Banu, C. P. Lim, Mubeen Tajudeen M., Abaker A. Hassaballa, Ines Hilali Jaghdam
article en

Abstract

This work examines the problem of adaptive event-triggered synchronization for discrete-time Lur'e systems subjected to actuator faults and hybrid cyber-attacks. An adaptive event-triggering framework is developed to mitigate the influence of these disruptions while simultaneously lowering communication traffic over constrained networks. The proposed design incorporates a Lyapunov-Krasovskii functional to derive synchronization conditions that guarantee the asymptotic stability of the resulting error dynamics. A numerical study based on the discrete-time Chua's circuit is included to illustrate the performance and robustness of the developed control strategy.

International Journal of Systems Science
Princess Nourah bint Abdulrahman University (SA), Northern Border University (SA), Ton Duc Thang University (VN), University of Brawijaya (ID), Maejo University (TH), Swinburne University of Technology (AU), Saveetha University (IN)
Openalex Percentile: Top 7%
Neural Networks Stability and Synchronization
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Adaptive event-driven synchronisation control for Lur'e chaotic systems facing actuator faults subject to hybrid attacks — Grienggrai Rajchakit, Mohamad Muslikh, et al. · International Journal of Systems Science (2026) | TGRS Research Map | TGRS