On Resilient Design of Cooperative Systems in Presence of Cyber-Attacks

被引:0
|
作者
Sadabadi, Mahdieh S. [1 ]
Gusrialdi, Azwirman [2 ]
机构
[1] Univ Sheffield, Dept Automat Control & Syst Engn, Sheffield, S Yorkshire, England
[2] Tampere Univ, Fac Engn & Nat Sci, Tampere 33014, Finland
基金
芬兰科学院;
关键词
DISTRIBUTED CONTROL; CONSENSUS;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper develops a resilient cooperative control system for leader-follower consensus problems subject to false data injection attacks. The attackers are assumed to inject unknown bounded exogenous signals to the actuators of followers and/or the communication networks of the leader and follower states. In order to attenuate the effects of such attacks on the consensus and stability of the system, we develop a cooperative control system augmented with a virtual network and interconnected with a leader and followers so that the leader-follower consensus is guaranteed under unknown attacks. A Lyapunov-based design framework is proposed to guarantee stability and leader-follower consensus against attacks. The effectiveness of the theoretical results is evaluated through a simulation example.
引用
收藏
页码:946 / 951
页数:6
相关论文
共 50 条
  • [41] Attack-Resilient Distributed Convex Optimization of Cyber-Physical Systems Against Malicious Cyber-Attacks Over Random Digraphs
    Feng, Zhi
    Hu, Guoqiang
    IEEE INTERNET OF THINGS JOURNAL, 2023, 10 (01) : 458 - 472
  • [42] Hybrid DeepGCL model for cyber-attacks detection on cyber-physical systems
    Rasim Alguliyev
    Yadigar Imamverdiyev
    Lyudmila Sukhostat
    Neural Computing and Applications, 2021, 33 : 10211 - 10226
  • [43] On the Security of Cyber-Physical Systems Against Stochastic Cyber-Attacks Models
    Abu Al-Haija, Qasem
    2021 IEEE INTERNATIONAL IOT, ELECTRONICS AND MECHATRONICS CONFERENCE (IEMTRONICS), 2021, : 155 - 160
  • [44] Hybrid DeepGCL model for cyber-attacks detection on cyber-physical systems
    Alguliyev, Rasim
    Imamverdiyev, Yadigar
    Sukhostat, Lyudmila
    NEURAL COMPUTING & APPLICATIONS, 2021, 33 (16): : 10211 - 10226
  • [45] Staying ahead of cyber-attacks
    Green, John
    Network Security, 2015, 2015 (02) : 13 - 16
  • [46] Hybrid DeepGCL model for cyber-attacks detection on cyber-physical systems
    Alguliyev, Rasim
    Imamverdiyev, Yadigar
    Sukhostat, Lyudmila
    Neural Computing and Applications, 2021, 33 (16) : 10211 - 10226
  • [47] Quantifying Impact on Safety from Cyber-Attacks on Cyber-Physical Systems
    Vlahakis, Eleftherios
    Provan, Gregory
    Werner, Gordon
    Yang, Shanchieh
    Athanasopoulos, Nikolaos
    IFAC PAPERSONLINE, 2023, 56 (02): : 246 - 251
  • [48] Resilience Enhancing Mechanisms for Cyber-Manufacturing Systems against Cyber-Attacks
    Espinoza-Zelaya, Carlos
    Moon, Young Bai
    IFAC PAPERSONLINE, 2022, 55 (10): : 2252 - 2257
  • [49] An Overview About Detection of Cyber-Attacks on Power SCADA Systems
    de Figueiredo, Hugo F. M.
    Ferst, Matheus K.
    Denardin, Gustavo W.
    2019 IEEE 15TH BRAZILIAN POWER ELECTRONICS CONFERENCE AND 5TH IEEE SOUTHERN POWER ELECTRONICS CONFERENCE (COBEP/SPEC), 2019,
  • [50] On detectability of cyber-attacks for large-scale interconnected systems
    Gallo, Alexander J.
    Barboni, Angelo
    Parisini, Thomas
    IFAC PAPERSONLINE, 2020, 53 (02): : 3521 - 3526