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作 者:Wei SU Chaoxu MU Song ZHU Ben NIU Changyin SUN
机构地区:[1]School of Control Science and Engineering,Tianjin University,Tianjin 300072,China [2]School of Mathematics,China University of Mining and Technology,Xuzhou 221116,China [3]School of Control Science and Engineering,Dalian University of Technology,Dalian 116024,China [4]School of Automation,Southeast University,Nanjing 210096,China
出 处:《Science China(Information Sciences)》2025年第3期282-297,共16页中国科学(信息科学)(英文版)
基 金:supported by National Key Research and Development Program of China(Grant No.2021YFB1714700);National Natural Science Foundation of China(Grant No.62333016)。
摘 要:Aiming at the consensus control problem of nonlinear multi-agent systems(MASs)under directed topology,a leader-follower bipartite consensus control strategy is proposed.This strategy takes into account the potential for denial-of-service(DoS)attacks and completely unknown system dynamics.Specifically,the bipartite consensus dynamics describes the cooperation and competition relationship between followers and the leader,that is,the follower chooses to move in accordance with or opposite to the leader according to its trajectory.In order to optimize the communication bandwidth and mitigate the impact of DoS attacks,the proposed consensus control scheme integrates the DoS attack detection mechanism and event-triggered mechanism.In addition,neural networks(NNs)are used to solve the nonlinear problem,and a speed function is designed to achieve the desired tracking performance,ensuring that all agents'tracking errors converge to a predefined set in a finite time.With the help of backstepping,graph theory,and Lyapunov stability theory,sufficient conditions for achieving bipartite consensus without Zeno behavior are established.Finally,the accuracy and feasibility of the theoretical analysis are verified by simulation cases.
关 键 词:multi-agent systems neural networks bipartite consensus event-trigger denial-of-service attack
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