Distributed event‐triggered consensus control for multi‐agent systems under independent DoS attacks: A randomized transmission approach

In this article, the consensus problem for disturbed multi‐agent systems (MASs) under independent denial‐of‐service (DoS) attacks is investigated. The concerned attacks can jam different channels independently, resulting in a time‐varying and unknown network topology. In this situation, a dynamic ev...

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Veröffentlicht in:International journal of robust and nonlinear control 2024-11, Vol.34 (17), p.11705-11724
Hauptverfasser: Sun, Yuan‐Cheng, Yao, Lina, Yang, Feisheng, Lu, An‐Yang
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container_title International journal of robust and nonlinear control
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creator Sun, Yuan‐Cheng
Yao, Lina
Yang, Feisheng
Lu, An‐Yang
description In this article, the consensus problem for disturbed multi‐agent systems (MASs) under independent denial‐of‐service (DoS) attacks is investigated. The concerned attacks can jam different channels independently, resulting in a time‐varying and unknown network topology. In this situation, a dynamic event‐triggered control scheme with a hybrid communication strategy is presented to schedule information interaction over the network, and a distributed prediction‐based control algorithm is proposed to ameliorate the resilience. The system stability is proved in present of DoS attacks by introducing the decay rates of Lyapunov functions associated with different connectivity modes. In comparison with the most existing MASs studies under DoS attacks, the triggering mechanism that possibly subject to the malicious attacks executed at the triggering times is protected by the proposed randomized transmission protocol, and the tolerable attack intensities are quantified. Finally, simulations are presented to substantiate that the proposed strategy is effective.
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subjects Algorithms
consensus control
Control stability
Control theory
Decay rate
denial‐of‐service attacks
dynamic event‐triggered strategy
Liapunov functions
multi‐agent systems
Network topologies
randomized transmission
Systems stability
title Distributed event‐triggered consensus control for multi‐agent systems under independent DoS attacks: A randomized transmission approach
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