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Observer-based aperiodically intermittent pinning synchronization of complex-valued dynamical networks with time-varying delay

Author

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  • Liang, Jianchao
  • Liu, Jian
  • Tse, Chi K.
  • Liu, Mengxuan

Abstract

This paper addresses the impact of time delay and unavailability of system states on synchronization in complex networks. Specifically, it focuses on observer-based synchronization of complex-valued dynamical networks (CDNs) with time-varying delays, encompassing both complex-valued node dynamics and outer coupling forms. Two aperiodically intermittent control schemes, with and without pins, are proposed to reduce control costs by minimizing control frequency and the number of controllers. The proposed schemes establish sufficient criteria for guaranteeing synchronization in CDNs with time-varying delays, utilizing a combination of Lyapunov function and inequality technology in the complex field. Numerical examples are provided to illustrate the effectiveness of the proposed theoretical results.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:phsmap:v:635:y:2024:i:c:s0378437124000244
    DOI: 10.1016/j.physa.2024.129516
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    References listed on IDEAS

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    1. Cai, Shuiming & Hou, Meiyuan, 2021. "Quasi-synchronization of fractional-order heterogeneous dynamical networks via aperiodic intermittent pinning control," Chaos, Solitons & Fractals, Elsevier, vol. 146(C).
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    3. Zheng, Song & Yuan, Liguo, 2019. "Nonperiodically intermittent pinning synchronization of complex-valued complex networks with non-derivative and derivative coupling," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 587-605.
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    Cited by:

    1. Zhang, Jinyuan & Ma, Yuechao, 2024. "Output feedback pinning control for complex dynamical networks subjected to multiple attacks," Chaos, Solitons & Fractals, Elsevier, vol. 181(C).

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