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Event-triggered impulsive control for multi-agent systems with actuation delay and continuous/periodic sampling

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  • Xie, Xiang
  • Li, Xiaodi
  • Liu, Xinzhi

Abstract

The paper explores the event-triggered impulsive control for consensus problems in multi-agent systems (MASs) with actuation delay. Two types of event-triggered delayed impulsive control (ETDIC) schemes, predicated on continuous and periodic sampling, are proposed respectively. Several exponential consensus criteria for MASs are derived by using Lyapunov method. A correlation function is established between event parameters, actuation delay, and control strength to promote the co-design of the event-triggering policy and impulsive controller. It is shown that under the proposed ETDIC schemes, the interaction between neighboring agents is executed discontinuously, the upper bound information on the interval of two consecutive event impulses is not directly required. This results in reduced resource consumption of communication and control actions, as well as enhancing flexibility of the generated sequences of event impulses. Moreover, two representative examples with simulation results are given to illustrate the theoretical results.

Suggested Citation

  • Xie, Xiang & Li, Xiaodi & Liu, Xinzhi, 2023. "Event-triggered impulsive control for multi-agent systems with actuation delay and continuous/periodic sampling," Chaos, Solitons & Fractals, Elsevier, vol. 175(P2).
    • Handle: RePEc:eee:chsofr:v:175:y:2023:i:p2:s0960077923009682
    DOI: 10.1016/j.chaos.2023.114067
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    References listed on IDEAS

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    1. Li, Jing & Zhu, Quanxin, 2023. "Event-triggered impulsive control of stochastic functional differential systems," Chaos, Solitons & Fractals, Elsevier, vol. 170(C).
    2. Zahra Yaghoubi & Heidar Ali Talebi, 2020. "Cluster consensus of fractional-order non-linear multi-agent systems with switching topology and time-delays via impulsive control," International Journal of Systems Science, Taylor & Francis Journals, vol. 51(10), pages 1685-1698, July.
    3. Huan, Mingchen & Li, Chuandong, 2022. "Stability analysis of state-dependent impulsive systems via a new two-sided looped functional," Chaos, Solitons & Fractals, Elsevier, vol. 155(C).
    4. Stamova, Ivanka & Stamov, Trayan & Stamov, Gani, 2022. "Lipschitz stability analysis of fractional-order impulsive delayed reaction-diffusion neural network models," Chaos, Solitons & Fractals, Elsevier, vol. 162(C).
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    Cited by:

    1. Liang, Jianchao & Liu, Jian & Tse, Chi K. & Liu, Mengxuan, 2024. "Observer-based aperiodically intermittent pinning synchronization of complex-valued dynamical networks with time-varying delay," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 635(C).
    2. Wang, Yunlong & Qi, Yiwen & Geng, Honglin & Tang, Yiwen & Li, Xin, 2024. "Long short-term memory based intelligent control for switched system with a resilient event-triggered communication," Chaos, Solitons & Fractals, Elsevier, vol. 180(C).
    3. Zheng, Huannan & Zhu, Wei & Li, Xiaodi, 2024. "Quasi-synchronization of parameter mismatch drive-response systems: A self-triggered impulsive control strategy," Chaos, Solitons & Fractals, Elsevier, vol. 180(C).

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