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A data-driven model-free adaptive pinning synchronization control study for complex networks

Author

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  • Haiyi Sun

    (Shenyang JianZhu University
    Shenyang JianZhu University)

  • Hongwei Nian

    (Shenyang JianZhu University)

  • Li Zheng

    (Shenyang JianZhu University)

  • Liang Cai

    (Shenyang JianZhu University)

Abstract

This paper explores the problem of synchronous control of discrete complex network dynamics models. In view of the challenges such as the difficulty of modeling complex networks, the complexity of network structure and the difficulty of controller design, this paper proposes an improved model-free adaptive pinning control method. First, a method of entropy of the betweenness centrality and node strength is proposed to select the key nodes, construct the augmentation and generalization error system, and design the control strategy based on the node input and output data. Second, the synchronous stability is analyzed theoretically and the controller parameters are optimized by firefly optimization algorithm in order to overcome the parameter tuning difficulties. Finally, the effectiveness of the proposed pinning node selection strategy in this paper is verified by simulation, and it is verified by simulation experiments of BA scale-free network and ER stochastic network that the pinning control method in this paper only needs to control a few key nodes in the network to realize the synchronous state of the whole network. The method of this paper provides a new idea for synchronous control of complex networks. Graphical abstract

Suggested Citation

  • Haiyi Sun & Hongwei Nian & Li Zheng & Liang Cai, 2024. "A data-driven model-free adaptive pinning synchronization control study for complex networks," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 97(12), pages 1-15, December.
  • Handle: RePEc:spr:eurphb:v:97:y:2024:i:12:d:10.1140_epjb_s10051-024-00827-9
    DOI: 10.1140/epjb/s10051-024-00827-9
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    References listed on IDEAS

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    1. Lü, Ling & Li, Chengren & Chen, Liansong & Bai, Suyuan & Ge, Lianjun & Gao, Liyu & Han, Changhui, 2018. "Outer synchronization between uncertain networks with adaptive scaling function and different node numbers," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 909-918.
    2. Giacomo Baggio & Danielle S. Bassett & Fabio Pasqualetti, 2021. "Data-driven control of complex networks," Nature Communications, Nature, vol. 12(1), pages 1-13, December.
    3. Lü, Ling & Li, Chengren & Li, Gang & Bai, Suyuan & Gao, Yan & Yan, Zhe & Rong, Tingting, 2018. "Adaptive synchronization of uncertain time-delayed and multi-link network with arbitrary topology," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 355-365.
    4. Wang, Xiao Fan & Chen, Guanrong, 2002. "Pinning control of scale-free dynamical networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 310(3), pages 521-531.
    5. Pang, Shao-peng & Tian, Zhi & Ma, Wei-gang, 2023. "Structural controllability and observability of complex network with output feedback," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 620(C).
    6. Lü, Ling & Xu, Yuqing & Chen, Liansong & Li, Chengren, 2019. "Exponential synchronization of uncertain networks with the switching topology based on sliding mode technology," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 521(C), pages 121-130.
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