Resilient distributed secure consensus control for uncertain networked agent systems under hybrid DoS attacks

被引:44
|
作者
Cheng, Fabin [1 ]
Niu, Ben [2 ]
Xu, Ning [3 ]
Zhao, Xudong [4 ]
机构
[1] Bohai Univ, Coll Control Sci & Engn, Jinzhou 121013, Liaoning, Peoples R China
[2] Shandong Normal Univ, Sch Informat Sci & Engn, Jinan 250014, Peoples R China
[3] Bohai Univ, Coll Informat Sci & Technol, Jinzhou 121013, Liaoning, Peoples R China
[4] Dalian Univ Technol, Fac Elect Informat & Elect Engn, Dalian 116024, Liaoning, Peoples R China
基金
中国国家自然科学基金;
关键词
Distributed consensus control; Self-triggered control; Cyber-physical system; Hybrid denial-of-service attacks; Input saturation; LEADER-FOLLOWING CONSENSUS; NONLINEAR-SYSTEMS; MULTIAGENT SYSTEMS; ADAPTIVE-CONTROL;
D O I
10.1016/j.cnsns.2023.107689
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this paper, the problem of resilient distributed secure consensus control for uncertain networked agent systems under hybrid denial-of-service (DoS) attacks is investigated. The current situation is that there exists a cyber layer connecting the network control units and a physical layer with specific physical links in the networked agent systems. Both the communication networks connecting the two layers and within the cyber layer may be attacked by DoS maliciously. These two attack scenarios have different impacts on the networked system. The former focuses on updating the control inputs timely, while the latter influences the connection weight of the cyber communication topology. Firstly, a distributed security consensus framework is proposed for the case that updates of signals are destroyed by DoS attacks between two layers, in which an acknowledgment (ACK)-based attack detection and a recovery mechanism are introduced, and a self-triggered based distributed control protocol is designed. On the premise of avoiding Zeno behavior, the relationship between trigger intervals and DoS attack characteristics is revealed. Secondly, corresponding asynchronous switching topology method is developed for secure consensus of the networked systems when DoS attacks are launched within the cyber layer. In addition, we found that large signals jump during switching and triggering will generate pulses and affect system stability. Therefore, a saturation function is introduced to constrain the fluctuation range of the signal. Finally, the effectiveness of the design scheme is verified by the simulation results of multi-robot systems.
引用
收藏
页数:16
相关论文
共 50 条
  • [1] Resilient Control of Uncertain Networked Systems under DoS Attacks
    Kang, Xile
    Ishii, Hideaki
    2021 60TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC), 2021, : 6952 - 6957
  • [2] Distributed Secure Average Consensus for Linear Multi-Agent Systems under DoS Attacks
    Feng, Zhi
    Hu, Guoqiang
    2017 AMERICAN CONTROL CONFERENCE (ACC), 2017, : 2261 - 2266
  • [3] Resilient Consensus for Networked Lagrangian Systems With Disturbances and DoS Attacks
    Li, Xiaolei
    Wang, Jiange
    IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2023, 53 (03): : 1644 - 1655
  • [4] Distributed resilient optimization control for uncertain nonlinear MASs under DoS attacks☆
    Yue, Dong
    Deng, Chao
    Han, Qing-Long
    AUTOMATICA, 2025, 173
  • [5] Distributed Secure Consensus Control With Event-Triggering for Multiagent Systems Under DoS Attacks
    Yang, Yang
    Li, Yanfei
    Yue, Dong
    Tian, Yu-Chu
    Ding, Xiaohua
    IEEE TRANSACTIONS ON CYBERNETICS, 2021, 51 (06) : 2916 - 2928
  • [6] Distributed adaptive command filtered resilient event-triggered secure consensus control for multiagent systems under double DoS attacks
    Hao, Ruolan
    Wang, Hongbin
    Zhou, Meihua
    Zheng, Wei
    EXPERT SYSTEMS WITH APPLICATIONS, 2023, 224
  • [7] Secure Distributed Control for Consensus of Multiple EL Systems Subject to DoS Attacks
    Zhang, Ruimei
    Wang, Hongxia
    Park, Ju H.
    Zeng, Deqiang
    Cheng, Jun
    IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2024, 54 (06): : 3879 - 3890
  • [8] Dynamic event-Based resilient consensus of networked lagrangian systems under DoS attacks
    Luo, Xiaoyuan
    Fu, Yuliang
    Li, Xiaolei
    Li, Shaobao
    JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2023, 360 (12): : 9198 - 9215
  • [9] Security Control for Uncertain Networked Control Systems under DoS Attacks and Fading Channels
    Chengzhen Gao
    Cheng Tan
    Hongtao Sun
    Mingyue Xiang
    Journal of Beijing Institute of Technology, 2022, 31 (04) : 422 - 430
  • [10] Security Control for Uncertain Networked Control Systems under DoS Attacks and Fading Channels
    Gao C.
    Tan C.
    Sun H.
    Xiang M.
    Journal of Beijing Institute of Technology (English Edition), 2022, 31 (04): : 422 - 430