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Peer-reviewedCC BY 4.0Mathematics

Intermittent Self-Triggered Fixed-Time Secure Consensus for Disturbed MASs Under False Data Injection Attacks

  • Tingwen Ruan1
  • Jiaxuan Fang1
  • Zhihang Ma2
  • Yuhua Song3
  • Xiao Wang4
4 affiliations
  1. 1School of Communication and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
  2. 2Portland Institute, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
  3. 3School of Advanced Manufacturing, Nanchang University, Nanchang 330031, China
  4. 4School of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
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Abstract

This paper investigates the fixed-time secure consensus problem for disturbed multi-agent systems (MASs) subject to false data injection attacks (FDIAs) via intermittent dynamic event/self-triggered control. To mitigate the impact of the FDIAs, a Nussbaum-based controller is designed, which effectively solves the problem of unknown attack weights. Moreover, we employ an intermittent control scheme and a dynamic event-triggered control strategy to effectively save resources. Furthermore, an intermittent self-triggered control algorithm is proposed to achieve the fixed-time consensus, thereby conserving communication resources while maintaining a rapid convergence rate. This paper proposes a practical control algorithm for MASs under FDIAs, with potential applications in connected automated ground vehicles requiring robust communication security and high energy efficiency. The effectiveness of the proposed algorithms is validated through simulation experiments based on connected automated ground vehicles.

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Cite

BibTeXRIS
BibTeX
@article{ruan2026intermittent,
  title = {{Intermittent Self-Triggered Fixed-Time Secure Consensus for Disturbed MASs Under False Data Injection Attacks}},
  author = {Tingwen Ruan and Jiaxuan Fang and Zhihang Ma and Yuhua Song and Xiao Wang},
  journal = {Mathematics},
  year = {2026},
  month = oct,
  doi = {10.3390/math14193580},
  url = {https://www.mdpi.com/2227-7390/14/19/3580},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Intermittent Self-Triggered Fixed-Time Secure Consensus for Disturbed MASs Under False Data Injection Attacks
AU  - Tingwen Ruan
AU  - Jiaxuan Fang
AU  - Zhihang Ma
AU  - Yuhua Song
AU  - Xiao Wang
PY  - 2026
DA  - 2026/10/02
JO  - Mathematics
DO  - 10.3390/math14193580
UR  - https://www.mdpi.com/2227-7390/14/19/3580
AB  - This paper investigates the fixed-time secure consensus problem for disturbed multi-agent systems (MASs) subject to false data injection attacks (FDIAs) via intermittent dynamic event/self-triggered control. To mitigate the impact of the FDIAs, a Nussbaum-based controller is designed, which effectively solves the problem of unknown attack weights. Moreover, we employ an intermittent control scheme and a dynamic event-triggered control strategy to effectively save resources. Furthermore, an intermittent self-triggered control algorithm is proposed to achieve the fixed-time consensus, thereby conserving communication resources while maintaining a rapid convergence rate. This paper proposes a practical control algorithm for MASs under FDIAs, with potential applications in connected automated ground vehicles requiring robust communication security and high energy efficiency. The effectiveness of the proposed algorithms is validated through simulation experiments based on connected automated ground vehicles.
SN  - 2227-7390
ER  -