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Finite-time synchronization of complex dynamical networks under delayed impulsive effects

Author

Listed:
  • Cui, Qian
  • Li, Lulu
  • Lu, Jianquan
  • Alofi, Abdulaziz

Abstract

This paper mainly studies the finite-time synchronization (FTS) of complex dynamical networks (CDNs) with delayed impulses. By constructing proper Lyapunov function, some sufficient criteria for FTS of CDNs under synchronizing and desynchronizing impulses are established, respectively. Firstly, the existing results of FTS are extended to the case with delayed impulses. Secondly, when the impulses in the CDNs are synchronizing, the existing criterion of local FTS (LFTS) is extended to global FTS (GFTS) and the settling time which depends on the initial values and the impulses is estimated. Furthermore, the bound of settling time is estimated explicitly when the CDNs are subjected to desynchronizing impulses. Finally, three examples are given to illustrate the validity of the obtained results.

Suggested Citation

  • Cui, Qian & Li, Lulu & Lu, Jianquan & Alofi, Abdulaziz, 2022. "Finite-time synchronization of complex dynamical networks under delayed impulsive effects," Applied Mathematics and Computation, Elsevier, vol. 430(C).
    • Handle: RePEc:eee:apmaco:v:430:y:2022:i:c:s0096300322003642
    DOI: 10.1016/j.amc.2022.127290
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    References listed on IDEAS

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    1. Yang, Huilan & Wang, Xin & Zhong, Shouming & Shu, Lan, 2018. "Synchronization of nonlinear complex dynamical systems via delayed impulsive distributed control," Applied Mathematics and Computation, Elsevier, vol. 320(C), pages 75-85.
    2. Qi, Xingnan & Bao, Haibo & Cao, Jinde, 2019. "Exponential input-to-state stability of quaternion-valued neural networks with time delay," Applied Mathematics and Computation, Elsevier, vol. 358(C), pages 382-393.
    3. Du, Feifei & Lu, Jun-Guo, 2021. "New criterion for finite-time synchronization of fractional order memristor-based neural networks with time delay," Applied Mathematics and Computation, Elsevier, vol. 389(C).
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    Cited by:

    1. Chen, Tianrui & Fan, Zezhou & Wang, Wenhua & Li, Wenxue, 2024. "Practical stabilization of multi-links highly nonlinear Takagi-Sugeno fuzzy complex networks with Lévy noise based on aperiodically intermittent discrete-time observation control," Applied Mathematics and Computation, Elsevier, vol. 476(C).
    2. Pooja Lakshmi, K. & Senthilkumar, T., 2023. "Robust exponential synchronization results for uncertain infinite time varying distributed delayed neural networks with flexible delayed impulsive control," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 209(C), pages 267-281.

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