Secure Dynamic Event-Triggered Formation Tracking Control for Multiagent Systems

This article studies the secure formation tracking problems for leader–follower multiagent systems (MASs) under limited resources, external disturbances, measurement noise, and random deception attacks, where a Bernoulli process is used to model random deception attacks occurring in the communication channels. A distributed sliding-mode observer (SMO) is proposed to estimate the inaccurate states of MASs, while handling the external perturbations. Then, a distributed dynamic triggering scheme is proposed based on the SMO states such that the interevent interval can be adjusted dynamically, and thus reduce the unnecessary resource consumption. By means of the SMO states and the event-triggered scheme, a distributed secure control protocol is proposed to realize the formation for MASs in the presence of one-to-all random deception attacks. Furthermore, it is extended to one-to-one random deception attack scenario. By employing the Lyapunov function and the linear matrix inequalities method, some sufficient conditions are provided to guarantee the bounded formation for MASs under a directed graph and both one-to-one and one-to-all attack scenarios. Experiments using multiple quadrotors are conducted to verify the developed formation control scheme.

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Publication Details

Journal
IEEE Transactions on Industrial Informatics
Published
2025-10-02
DOI
https://doi.org/10.1109/tii.2025.3609009
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
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0.00
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article

Secure Dynamic Event-Triggered Formation Tracking Control for Multiagent Systems

Hao Wang, Jinjun Shan
IEEE Transactions on Industrial Informatics
Distributed Control Multi-Agent Systems
article

Secure Dynamic Event-Triggered Formation Tracking Control for Multiagent Systems

Hao Wang, Jinjun Shan
article en

Abstract

This article studies the secure formation tracking problems for leader–follower multiagent systems (MASs) under limited resources, external disturbances, measurement noise, and random deception attacks, where a Bernoulli process is used to model random deception attacks occurring in the communication channels. A distributed sliding-mode observer (SMO) is proposed to estimate the inaccurate states of MASs, while handling the external perturbations. Then, a distributed dynamic triggering scheme is proposed based on the SMO states such that the interevent interval can be adjusted dynamically, and thus reduce the unnecessary resource consumption. By means of the SMO states and the event-triggered scheme, a distributed secure control protocol is proposed to realize the formation for MASs in the presence of one-to-all random deception attacks. Furthermore, it is extended to one-to-one random deception attack scenario. By employing the Lyapunov function and the linear matrix inequalities method, some sufficient conditions are provided to guarantee the bounded formation for MASs under a directed graph and both one-to-one and one-to-all attack scenarios. Experiments using multiple quadrotors are conducted to verify the developed formation control scheme.

IEEE Transactions on Industrial InformaticsVol. 22(1)
York University (CA)
Openalex Percentile: Top 68%
Distributed Control Multi-Agent Systems
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