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arXiv 2502.04497eess.SYcs.SY
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分布式弹性非对称二分一致性:一种数据驱动的事件触发机制

Distributed Resilient Asymmetric Bipartite Consensus: A Data-Driven Event-Triggered Mechanism

Yi Zhang, Mohamadamin Rajabinezhad, Shan Zuo

AI总结:

本文针对非线性离散时间多智能体系统在非周期性DoS攻击下的非对称二分一致性问题,提出一种数据驱动事件触发机制,在状态不可用和数据丢包情况下弹性实现领导者-跟随者一致性,并通过数值算例验证其有效性。

摘要:

本文在非线性、离散时间、网络化多智能体系统(MAS)遭受非周期性拒绝服务(DoS)攻击的背景下,研究了非对称二分一致性控制问题。为应对这些非周期性 DoS 攻击带来的挑战,提出了一种数据驱动的事件触发(DDET)机制。该机制专门设计用于在非周期性通信中断和数据丢失的情况下,仍能使跟随者智能体的状态与领导者状态同步。考虑到攻击期间智能体状态不可用以及数据包丢失的限制,DDET 控制框架能够弹性地实现领导者-跟随者一致性。通过两个数值算例验证了所提框架的有效性,展示了其在非线性 MAS 环境中灵活处理非周期性 DoS 攻击所带来复杂性的能力。

英文摘要:

The problem of asymmetric bipartite consensus control is investigated within the context of nonlinear, discrete-time, networked multi-agent systems (MAS) subject to aperiodic denial-of-service (DoS) attacks. To address the challenges posed by these aperiodic DoS attacks, a data-driven event-triggered (DDET) mechanism has been developed. This mechanism is specifically designed to synchronize the states of the follower agents with the leader's state, even in the face of aperiodic communication disruptions and data losses. Given the constraints of unavailable agents' states and data packet loss during these attacks, the DDET control framework resiliently achieves leader-follower consensus. The effectiveness of the proposed framework is validated through two numerical examples, which showcase its ability to adeptly handle the complexities arising from aperiodic DoS attacks in nonlinear MAS settings.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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