Dynamic Event-Triggered Resilient Control of Nonlinear Multi-Agent Systems Against Asynchronous DoS Attacks

This paper investigates dynamic event-triggered resilient formation control for nonlinear multi-agent systems under multi-channel Denial-of-Service (DoS) attacks. Unlike existing resilient formation control strategies, which assume a unified attack model across all communication channels among followers under known system dynamics, which is not realistic. We propose a novel architecture for secure formation control to tackle the challenges posed by heterogeneous and uncertain dynamics, as well as distributed and asynchronous DoS attacks. Specifically, each communication channel, whether between the leader and followers, or among followers, may be independently and asynchronously attacked. In addition, a novel dynamic event-triggered mechanism that incorporates attack parameters is designed to mitigate the overuse of network bandwidth while avoiding the Zeno behavior. Notably, in comparison with conventional methods for heterogeneous cooperative systems, our approach eliminates the need for distributed observers to reconstruct the leader’s information, thus significantly reducing the transmission of additional variables and simplifying the system architecture. Finally, the effectiveness of our proposed algorithms is verified through a practical example involving a multi-robot system. Note to Practitioners—This paper investigates dynamic event-triggered resilient formation control for nonlinear multi-agent systems under multi-channel Denial-of-Service (DoS) attacks. The proposed distributed resilient control algorithms can be applied to multiple ground vehicles, air vehicles, and underwater vehicles. Unlike existing resilient formation control strategies, which assume a unified attack model across all communication channels among followers under known system dynamics, which is not realistic. We propose a novel architecture for secure formation control to tackle the challenges posed by heterogeneous and uncertain dynamics, as well as distributed and asynchronous DoS attacks. Specifically, each communication channel, whether between the leader and followers, or among followers, may be independently and asynchronously attacked. In addition, a novel dynamic event-triggered mechanism that incorporates attack parameters is designed to mitigate the overuse of network bandwidth while avoiding the Zeno behavior. Notably, in comparison with conventional methods for heterogeneous cooperative systems, our approach eliminates the need for distributed observers to reconstruct the leaders information, thus significantly reducing the transmission of additional variables and simplifying the system architecture. Finally, the effectiveness of our proposed algorithms is verified through a practical example involving a multi-robot system.

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Publication Details

Journal
IEEE Transactions on Automation Science and Engineering
Published
2025-01-01
DOI
https://doi.org/10.1109/tase.2025.3552133
Citations
18
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
26.77

Funders

Controls
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article

Dynamic Event-Triggered Resilient Control of Nonlinear Multi-Agent Systems Against Asynchronous DoS Attacks

Yong Xu, Zheng‐Guang Wu, Meng-Ying Wan
18 citations
IEEE Transactions on Automation Science and Engineering
Network Security and Intrusion Detection
26.77
article

Dynamic Event-Triggered Resilient Control of Nonlinear Multi-Agent Systems Against Asynchronous DoS Attacks

Yong Xu, Zheng‐Guang Wu, Meng-Ying Wan
article en
18 citations

Abstract

This paper investigates dynamic event-triggered resilient formation control for nonlinear multi-agent systems under multi-channel Denial-of-Service (DoS) attacks. Unlike existing resilient formation control strategies, which assume a unified attack model across all communication channels among followers under known system dynamics, which is not realistic. We propose a novel architecture for secure formation control to tackle the challenges posed by heterogeneous and uncertain dynamics, as well as distributed and asynchronous DoS attacks. Specifically, each communication channel, whether between the leader and followers, or among followers, may be independently and asynchronously attacked. In addition, a novel dynamic event-triggered mechanism that incorporates attack parameters is designed to mitigate the overuse of network bandwidth while avoiding the Zeno behavior. Notably, in comparison with conventional methods for heterogeneous cooperative systems, our approach eliminates the need for distributed observers to reconstruct the leader’s information, thus significantly reducing the transmission of additional variables and simplifying the system architecture. Finally, the effectiveness of our proposed algorithms is verified through a practical example involving a multi-robot system. Note to Practitioners—This paper investigates dynamic event-triggered resilient formation control for nonlinear multi-agent systems under multi-channel Denial-of-Service (DoS) attacks. The proposed distributed resilient control algorithms can be applied to multiple ground vehicles, air vehicles, and underwater vehicles. Unlike existing resilient formation control strategies, which assume a unified attack model across all communication channels among followers under known system dynamics, which is not realistic. We propose a novel architecture for secure formation control to tackle the challenges posed by heterogeneous and uncertain dynamics, as well as distributed and asynchronous DoS attacks. Specifically, each communication channel, whether between the leader and followers, or among followers, may be independently and asynchronously attacked. In addition, a novel dynamic event-triggered mechanism that incorporates attack parameters is designed to mitigate the overuse of network bandwidth while avoiding the Zeno behavior. Notably, in comparison with conventional methods for heterogeneous cooperative systems, our approach eliminates the need for distributed observers to reconstruct the leaders information, thus significantly reducing the transmission of additional variables and simplifying the system architecture. Finally, the effectiveness of our proposed algorithms is verified through a practical example involving a multi-robot system.

IEEE Transactions on Automation Science and EngineeringVol. 22
Beijing Institute of Technology (CN), Zhejiang University (CN)
National Natural Science Foundation of China
Climate action
Openalex Percentile: Top 0%
Network Security and Intrusion Detection
26.77
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