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The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Secure Cooperative Event-Triggered Control of Linear Multiagent Systems Under DoS Attacks

Feng, Zhi, Hu, Guoqiang·2020·IEEE Transactions on Control Systems Technology
DOI 10.1109/tcst.2019.2892032
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Abstract

This paper studies secure cooperative event-triggered control of linear multiagent systems under denial-of-service (DoS) attacks. The DoS attacks refer to interruptions of communication channels carried out by an intelligent adversary. We consider a class of time-sequence-based DoS attacks allowed to occur aperiodically. Then, an explicit analysis of the frequency and duration of DoS attacks is investigated for both secure leaderless and leader-following consensus problems. A resilient cooperative event-triggered control scheme is developed and scheduling of controller updating times is determined in the presence of DoS attacks. It is shown that based on the proposed distributed algorithms, all the agents can achieve secure consensus exponentially. The effectiveness of the developed methods is illustrated through three case studies: 1) multiple robot coordination; 2) distributed voltage regulation of power networks; and 3) distributed cooperative control of unstable dynamic systems.

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Citations

Cites

  • Consensus and Cooperation in Networked Multi-Agent Systems

    Olfati-Saber, R., Fax, J. A., & Murray, R. M. (2007) · Proceedings of the IEEE · doi:10.1109/jproc.2006.887293 · Cited by 10,522 · cited 4×

    “As investigated in [1]–[6], the goal of distributed coordination is to design the following distributed controller such that all the agents can reach consensus of the states where i = 1 , 2 , . . . , N , a ij is the adjacency element, K > 0 is the constant gain matrix with appropriate dimension,…”
    BackgroundInfluential

Research works printed but not linked: 44

  1. 10.1109/TPWRS.2013.2247071 · DOI
  2. khalil, 2003, Nonlinear Systems
  3. 10.1109/CDC.2015.7402756 · DOI
  4. 10.1109/TCYB.2016.2544062 · DOI
  5. 10.1002/rnc.3342 · DOI
  6. feng, 2014, Distributed tracking control for multi-agent systems under two types of attacks, Proc 19th IFAC World Congr, 1
  7. lewis, 1995, Optimal Control
  8. 10.1007/978-0-85729-169-1 · DOI
  9. 10.1109/ICInfA.2017.8078885 · DOI
  10. 10.23919/ACC.2017.7963289 · DOI
  11. 10.1109/TCST.2011.2160543 · DOI
  12. 10.1109/TPWRS.2015.2507199 · DOI
  13. 10.1109/TCST.2012.2211873 · DOI
  14. 10.1109/TCST.2012.2211874 · DOI
  15. 10.1109/TCST.2015.2462741 · DOI
  16. 10.1016/j.automatica.2014.10.067 · DOI
  17. mo, 2014, Detecting integrity attacks on SCADA systems, IEEE Trans Control Syst Technol, 22, 1396, 10.1109/TCST.2013.2280899 · DOI
  18. 10.1109/CDC.2012.6425868 · DOI
  19. 10.1109/CDC.2015.7402971 · DOI
  20. 10.3182/20140824-6-ZA-1003.02184 · DOI
  21. 10.1109/TSMC.2017.2697450 · DOI
  22. 10.1109/TSMC.2017.2744671 · DOI
  23. 10.1109/TCNS.2016.2545869 · DOI
  24. 10.1016/j.automatica.2014.08.024 · DOI
  25. 10.1109/TCNS.2016.2578039 · DOI
  26. 10.1109/TAC.2014.2350391 · DOI
  27. 10.1109/TAC.2017.2693824 · DOI
  28. 10.1016/j.automatica.2016.06.024 · DOI
  29. 10.1109/TCYB.2014.2301434 · DOI
  30. 10.1016/j.automatica.2011.09.011 · DOI
  31. su, 2012, Cooperative output regulation of linear multi-agent systems, IEEE Trans Autom Control, 57, 1062, 10.1109/TAC.2011.2169618 · DOI
  32. 10.1109/CDC.2010.5717544 · DOI
  33. 10.1109/TAC.2015.2416924 · DOI
  34. feng, 2018, A distributed constrained optimzation method for spatiotemporal connectivity-preserving rendezvous of multi-robot systems, Proc 57th IEEE Conf Decis Control
  35. 10.1109/TAC.2007.904277 · DOI
  36. 10.1109/CDC.2015.7402972 · DOI
  37. 10.1109/TCST.2016.2517574 · DOI
  38. 10.1109/TAC.2011.2174666 · DOI · Paper page
  39. 10.1109/TCST.2016.2599486 · DOI
  40. 10.1109/TAC.2010.2057951 · DOI
  41. 10.1109/CDC.2017.8263667 · DOI
  42. 10.1109/TCST.2016.2552982 · DOI
  43. 10.1109/TAC.2017.2697202 · DOI
  44. 10.1109/TAC.2015.2405294 · DOI · Paper page

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Metadata

Authors
Feng, Z., & Hu, G.
ORCID
Hu, Guoqiang
Venue
IEEE Transactions on Control Systems Technology
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published
2020-05
Volume
28
Issue
3
Pages
741-752
ISSN
  • 1063-6536
  • 1558-0865
  • 2374-0159
DOI
10.1109/tcst.2019.2892032
Cited by
407
References
1
Licence
Funders
  • Economic Development Board - Singapore (S14-1172-NRF EIRP-IHL)
  • Singapore Ministry of Education Academic Research Fund (Tier 1 RG180/17(2017-T1-002-158))

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