Event-triggered synchronization control for neural networks against DoS attacks

Yawei Liu; Guangyin Cui; Chen Gao; Yawei Liu; Guangyin Cui; Chen Gao

doi:10.3934/era.2025007

Electronic Research Archive

2025, Volume 33, Issue 1: 121-141. doi: 10.3934/era.2025007

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Research article

Event-triggered synchronization control for neural networks against DoS attacks

Kunlun Digital Technology Co. Ltd., Beijing 100007, China

Received: 14 November 2024 Revised: 24 December 2024 Accepted: 02 January 2025 Published: 14 January 2025

This paper studied the event-triggered synchronization problem for time-delay neural networks under DoS attacks. A novel event-triggered scheme based on switching between periodic sampling and a continuous event-triggered scheme was proposed, which not only cuts down the number of data transmissions but also offsets cyberattacks. By choosing a suitable piecewise Lyapunov-Krasovskii functional and using several free-weighting matrices, sufficient conditions were established to ensure the exponential stability of the synchronization error system in the occurrence of DoS attacks. Furthermore, a co-design method was provided to acquire the desired non-fragile output-feedback control gain and event-triggering parameter. Finally, a numerical example was given to illustrate the usefulness of the proposed approach.
- event-triggered scheme,
- synchronization control,
- DoS attacks,
- neural networks
Citation: Yawei Liu, Guangyin Cui, Chen Gao. Event-triggered synchronization control for neural networks against DoS attacks[J]. Electronic Research Archive, 2025, 33(1): 121-141. doi: 10.3934/era.2025007

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Abstract

This paper studied the event-triggered synchronization problem for time-delay neural networks under DoS attacks. A novel event-triggered scheme based on switching between periodic sampling and a continuous event-triggered scheme was proposed, which not only cuts down the number of data transmissions but also offsets cyberattacks. By choosing a suitable piecewise Lyapunov-Krasovskii functional and using several free-weighting matrices, sufficient conditions were established to ensure the exponential stability of the synchronization error system in the occurrence of DoS attacks. Furthermore, a co-design method was provided to acquire the desired non-fragile output-feedback control gain and event-triggering parameter. Finally, a numerical example was given to illustrate the usefulness of the proposed approach.

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