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Secure Consensus Control of Multiagent Systems Under DoS Attacks: A Switching-Scheme-Based Active Defense Method. | LitMetric

AI Article Synopsis

  • * It proposes a unique active defense method that includes state observers, an adaptive topology switching mechanism, and switching controllers, which together maintain leader-follower consensus despite DoS attacks affecting agent interactions.
  • * The developed defense system improves upon previous approaches by eliminating restrictions on the duration and frequency of DoS attacks, ensuring that consensus error remains consistent before and after such attacks, validated through various simulations.

Article Abstract

This article studies the secure consensus control problem of multiagent systems (MASs) with a nonzero input leader subject to denial-of-service (DoS) attacks. The introduction of backup topologies makes it possible for MASs to actively defend against DoS attacks. Subsequently, a novel active defense method consisting of two types of state observers, an adaptive topology switching mechanism, and switching controllers is proposed, which can ensure the leader-follower bound consensus even if DoS attacks hinder the interaction between agents. Within such a defense framework, the switching mechanism, driven by the predefined performance index and designed monitoring function, can automatically search for a healthy communication graph among backup topologies. Concurrently, the observer-based switching control strategy will be modified to match the corresponding topology, in which the universal observer and controller parameters in different topologies are obtained by solving linear matrix inequalities. It should be highlighted that the developed defense scheme not only removes the limitations of existing results on the duration and frequency of DoS attacks but also ensures the same upper bound of consensus error before and after DoS attacks. Finally, several simulation examples for different systems illustrate the efficiency and superiority of the theoretical results.

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Source
http://dx.doi.org/10.1109/TCYB.2024.3467272DOI Listing

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