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通过边界控制方法实现拒绝服务攻击下基于偏微分方程的多智能体系统的安全共识

Secure consensus for PDEs-based multiagent systems under DoS attacks via boundary control approach.

作者信息

Yang Chuanhai, Liu Qingshan

机构信息

School of Cyber Science and Engineering, Southeast University, Nanjing 210096, China.

School of Mathematics, Frontiers Science Center for Mobile Information Communication and Security, Southeast University, Nanjing 210096, China; Purple Mountain Laboratories, Nanjing 211111, China.

出版信息

ISA Trans. 2024 Nov;154:1-13. doi: 10.1016/j.isatra.2024.08.014. Epub 2024 Aug 20.

Abstract

This paper focuses on secure consensus for leader-following multiagent systems (MASs) modeled by partial differential equations (PDEs) under denial of service (DoS) attacks. To mitigate the negative effects of DoS attacks, which can paralyze communication and cause agents to fail to receive valid control inputs, a buffer region is established in the communication channels among agents to temporarily store messages from neighbors. Additionally, since the states of the leader and followers are not always measurable, observers are used to estimate these states. To address these challenges, this paper proposes two boundary controllers to ensure leader-following consensus in both measurable and unmeasurable states. One controller is based on original boundary information, while the other utilizes observation information from both the leader and followers. To the best of our knowledge, this is the first attempt to use buffers to solve a class of PDEs-based MASs under DoS attacks. Furthermore, the boundary control approach has the potential to significantly reduce the number of actuators required, thereby lowering control costs. Finally, we present two numerical examples to validate the feasibility of the proposed methods.

摘要

本文聚焦于在拒绝服务(DoS)攻击下,由偏微分方程(PDEs)建模的跟随领导者多智能体系统(MASs)的安全一致性问题。为减轻DoS攻击的负面影响,这种攻击会使通信瘫痪并导致智能体无法接收有效的控制输入,在智能体之间的通信通道中建立了一个缓冲区,用于临时存储来自邻居的消息。此外,由于领导者和跟随者的状态并非总是可测量的,因此使用观测器来估计这些状态。为应对这些挑战,本文提出了两种边界控制器,以确保在可测量和不可测量状态下的跟随领导者一致性。一种控制器基于原始边界信息,而另一种则利用来自领导者和跟随者的观测信息。据我们所知,这是首次尝试使用缓冲区来解决一类在DoS攻击下基于PDEs的MASs问题。此外,边界控制方法有可能显著减少所需的执行器数量,从而降低控制成本。最后,我们给出两个数值例子来验证所提方法的可行性。

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