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DoS攻击下基于多率采样的多智能体系统安全一致性
引用本文:王悦,贾新春,游秀,吕腾.DoS攻击下基于多率采样的多智能体系统安全一致性[J].控制理论与应用,2022,39(10):1890-1897.
作者姓名:王悦  贾新春  游秀  吕腾
作者单位:山西大学,山西大学,山西大学,山西大学
基金项目:国家自然科学基金项目(61973201, 61803243), 山西省教育厅高校科技创新项目(2020L0011), 博士后创新人才支持计划项目(BX20200201), 中国 博士后科学基金第69批面上项目(2021M691988)
摘    要:本 文 研 究 了 一 类 带 有 多 率 采 样 的 线 性 多 智 能 体 系 统(Multiagent Systems, MASs)在 拒 绝 服 务(Denial-of-Service, DoS)攻击下的安全一致性控制问题, 其中DoS攻击通常阻断智能体之间的信息传输. 本文将多 率采样在网络化控制系统中的结果推广到了多智能体系统, 并考虑了非理想通信网络环境. 首先, 通过引入一个匹 配机制来同步由多率采样引起的智能体不同状态分量的采样数据. 然后, 在DoS攻击下, 针对带有多率采样的线 性MAS提出了一个基于多率采样的安全一致性控制器. 通过使用李雅普诺夫稳定性理论和切换系统方法, 获得了 包含DoS 攻击持续时间以及攻击频率的安全一致性充分条件. 最后, 给出了一个仿真例子来验证所提方法的有效 性, 并给出了多率采样与单率采样机制的性能对比分析.

关 键 词:多智能体系统    多率采样    拒绝服务攻击    安全控制    一致性控制
收稿时间:2021/10/16 0:00:00
修稿时间:2022/7/13 0:00:00

Multi-rate Sampled-data Secure Consensus of Multi-Agent Systems Subject to DoS Attacks
WANG Yue,JIA Xin-chun,You Xiu and Lv Teng.Multi-rate Sampled-data Secure Consensus of Multi-Agent Systems Subject to DoS Attacks[J].Control Theory & Applications,2022,39(10):1890-1897.
Authors:WANG Yue  JIA Xin-chun  You Xiu and Lv Teng
Affiliation:Shanxi University,Shanxi University,Shanxi University,Shanxi University
Abstract:This paper studies the secure consensus control problem for a class of linear multiagent systems (MASs) with a multi-rate sampling under denial-of-service (DoS) attacks, where DoS attacks usually prevent information transmission among agents. The results of the multi-rate sampling strategy in networked control systems are extended to MASs and a non-ideal communication network is considered in this paper. Firstly, a matching mechanism is introduced in order to synchronize the sampled data of different state components of agents caused by multi-rate sampling. Then, a multi-rate sampling based secure consensus controller is designed for linear MAS with a multi-rate sampling under DoS attacks. By using Lyapunov stability theory and switched system method, a sufficient condition with the DoS attack duration and frequency is obtained. Finally, a simulation example is presented to verify the effectiveness of the proposed method and exhibit the performance comparing analysis between the multi-rate sampling and single-rate sampling mechanism.
Keywords:multi-agent systems (MASs)  multi-rate sampling  denial-of-service (DoS) attacks  secure control  consensus control
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