This paper studies the leader-following bipartite consensus issue for multi-agent systems (MASs) with event-triggered control strategy under denial-of-service (DoS) attacks. To prevent parameters from growing unboundedly during the adaptive process, a projection operator-based adaptive control algorithm combined with a distributed dynamic event-triggered (DET) control strategy is introduced. This control strategy can also reduce unnecessary communication burden. Unlike most existing control algorithms for structurally balanced graphs, a partition algorithm is used to achieve bipartite consensus for the structurally unbalanced case. Besides, by utilizing LMI technology and the Lyapunov function method, several criteria are established to guarantee the stability of error systems under DoS attacks. Moreover, a proof by contradiction is employed to rule out Zeno behavior. Finally, the effectiveness and superiority of the proposed approach are verified by a simulation example.
Citation: Xiaoli Ruan, Zhiwei Du, Huali Yang, Chen Wang, Jianwen Feng. Adaptive bipartite consensus for dynamic event-triggered multi-agent systems under DoS attacks[J]. AIMS Mathematics, 2026, 11(8): 25295-25321. doi: 10.3934/math.20261016
This paper studies the leader-following bipartite consensus issue for multi-agent systems (MASs) with event-triggered control strategy under denial-of-service (DoS) attacks. To prevent parameters from growing unboundedly during the adaptive process, a projection operator-based adaptive control algorithm combined with a distributed dynamic event-triggered (DET) control strategy is introduced. This control strategy can also reduce unnecessary communication burden. Unlike most existing control algorithms for structurally balanced graphs, a partition algorithm is used to achieve bipartite consensus for the structurally unbalanced case. Besides, by utilizing LMI technology and the Lyapunov function method, several criteria are established to guarantee the stability of error systems under DoS attacks. Moreover, a proof by contradiction is employed to rule out Zeno behavior. Finally, the effectiveness and superiority of the proposed approach are verified by a simulation example.
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