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Structure identification of unknown complex-variable dynamical networks with complex coupling

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  • Yan, Jiaye
  • Zhou, Jiaying
  • Wu, Zhaoyan

Abstract

Topology structure and system parameters play a key role in evolving behavior of dynamical networks. Due to the complexity of dynamical networks, topology structure and system parameters are sometimes unknown or uncertain in advance. Therefore, structure identification is a necessary and critical issue. In this paper, we consider the structure identification of unknown complex-variable dynamical networks with complex coupling. Further, we design corresponding network estimators using the adaptive control scheme. Finally, we derive two results based on the Barbalat’s lemma and illustrate them by two numerical examples.

Suggested Citation

  • Yan, Jiaye & Zhou, Jiaying & Wu, Zhaoyan, 2019. "Structure identification of unknown complex-variable dynamical networks with complex coupling," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 256-265.
    • Handle: RePEc:eee:phsmap:v:525:y:2019:i:c:p:256-265
    DOI: 10.1016/j.physa.2019.03.064
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    References listed on IDEAS

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    1. Zhou, Jiaying & Zhao, Yi & Wu, ZhaoYan, 2019. "Cluster synchronization of fractional-order directed networks via intermittent pinning control," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 519(C), pages 22-33.
    2. Gao, Cai & Wei, Daijun & Hu, Yong & Mahadevan, Sankaran & Deng, Yong, 2013. "A modified evidential methodology of identifying influential nodes in weighted networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(21), pages 5490-5500.
    3. Zhou, Jin & Lu, Jun-an, 2007. "Topology identification of weighted complex dynamical networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 386(1), pages 481-491.
    4. Zhaoyan Wu & Xinchu Fu, 2013. "Synchronization Of Complex-Variable Dynamical Networks With Complex Coupling," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 24(02), pages 1-13.
    5. Chen, Duanbing & Lü, Linyuan & Shang, Ming-Sheng & Zhang, Yi-Cheng & Zhou, Tao, 2012. "Identifying influential nodes in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(4), pages 1777-1787.
    6. Zhou, Peipei & Cai, Shuiming & Jiang, Shengqin & Liu, Zengrong, 2018. "Exponential cluster synchronization in directed community networks via adaptive nonperiodically intermittent pinning control," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 492(C), pages 1267-1280.
    7. Shuiming Cai & Xiaojing Li & Feilong Zhou, 2018. "Adaptive intermittent control for exponential synchronization of directed networks with complex-variable systems and distributed delays coupling," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 29(11), pages 1-21, November.
    8. Al Khafaf, Nameer & Jalili, Mahdi, 2019. "Optimization of synchronizability in complex spatial networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 514(C), pages 46-55.
    9. 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.
    10. Zhao, Yi & Fu, Fangfang & Wang, Jingyi & Feng, Jianwen & Zhang, Haiyu, 2018. "Synchronization of hybrid-coupled delayed dynamical networks with noises by partial mixed impulsive control strategy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 492(C), pages 1181-1193.
    11. Li, Fengbing & Ma, Zhongjun & Duan, Qichang, 2019. "Partial component synchronization on chaotic networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 515(C), pages 707-714.
    12. Wu, Xiaoqun, 2008. "Synchronization-based topology identification of weighted general complex dynamical networks with time-varying coupling delay," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(4), pages 997-1008.
    13. Shengqin Jiang & Xiaobo Lu & Guoliang Cai & Shuiming Cai, 2017. "Adaptive fixed-time control for cluster synchronisation of coupled complex networks with uncertain disturbances," International Journal of Systems Science, Taylor & Francis Journals, vol. 48(16), pages 3382-3390, December.
    14. He, Tao & Lu, Xiliang & Wu, Xiaoqun & Lu, Jun-an & Zheng, Wei Xing, 2013. "Optimization-based structure identification of dynamical networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(4), pages 1038-1049.
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    Cited by:

    1. Zheng, Ying & Wu, Yayong & Jiang, Guo-Ping, 2024. "Exploring synchronizability of complex dynamical networks from edges perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 638(C).

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