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Flocking in nonlinear multi-agent systems with time-varying delay via event-triggered control

Author

Listed:
  • Sun, Fenglan
  • Wang, Rui
  • Zhu, Wei
  • Li, Yongfu

Abstract

This paper studies the flocking problem in the nonlinear multi-agent systems with time-varying delay. By adopting the event-triggered control strategy, some sufficient conditions for the flocking problem are given. The results show that the stable flocking motion is achieved when a leader could be tracked. Finally, several numerical examples are presented to illustrate the effectiveness of the obtained theoretical results.

Suggested Citation

  • Sun, Fenglan & Wang, Rui & Zhu, Wei & Li, Yongfu, 2019. "Flocking in nonlinear multi-agent systems with time-varying delay via event-triggered control," Applied Mathematics and Computation, Elsevier, vol. 350(C), pages 66-77.
    • Handle: RePEc:eee:apmaco:v:350:y:2019:i:c:p:66-77
    DOI: 10.1016/j.amc.2018.12.056
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    References listed on IDEAS

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    1. Fenglan Sun & Zhi-Hong Guan & Li Ding & Yan-Wu Wang, 2013. "Mean square average-consensus for multi-agent systems with measurement noise and time delay," International Journal of Systems Science, Taylor & Francis Journals, vol. 44(6), pages 995-1005.
    2. Zhengquan Yang & Qing Zhang & Zuolian Jiang & Zengqiang Chen, 2012. "Flocking of multi-agents with time delay," International Journal of Systems Science, Taylor & Francis Journals, vol. 43(11), pages 2125-2134.
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    Cited by:

    1. Bao, Yuangui & Zhang, Yijun & Zhang, Baoyong, 2021. "Fixed-time synchronization of coupled memristive neural networks via event-triggered control," Applied Mathematics and Computation, Elsevier, vol. 411(C).
    2. Kaviarasan, Boomipalagan & Kwon, Oh-Min & Park, Myeong Jin & Sakthivel, Rathinasamy, 2021. "Stochastic faulty estimator-based non-fragile tracking controller for multi-agent systems with communication delay," Applied Mathematics and Computation, Elsevier, vol. 392(C).

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