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Synchronization of reservoir computers via transmitting invisible signals

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  • Xiong, Guangwen
  • Cai, Xiaohua
  • Weng, Tongfeng
  • Zhou, Lei

Abstract

We propose an alternative way for achieving synchronization among reservoir computers. Specifically, by sharing common invisible signals, we realize synchronization of trained reservoir computers that learn an observed chaotic system of interest. In the same manner, we demonstrate that synchronization also emerges in their coupled systems over a window of coupling strengths. Interestingly, through constructing a coupled configuration, we show that an ensemble of coupled reservoir oscillators in complex networks achieves identical synchrony across a broader range of coupling strengths. Our work to some extent illustrates that synchronization can be realized beyond driving by visible signals.

Suggested Citation

  • Xiong, Guangwen & Cai, Xiaohua & Weng, Tongfeng & Zhou, Lei, 2026. "Synchronization of reservoir computers via transmitting invisible signals," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 681(C).
    • Handle: RePEc:eee:phsmap:v:681:y:2026:i:c:s0378437125007289
    DOI: 10.1016/j.physa.2025.131076
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    References listed on IDEAS

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    1. Chen, Xiaolu & Weng, Tongfeng & Gu, Changgui & Yang, Huijie, 2019. "Synchronizing hyperchaotic subsystems with a single variable: A reservoir computing approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
    2. Chen, Xiaolu & Weng, Tongfeng & Li, Chunzi & Yang, Huijie, 2022. "Synchronization of reservoir computing models via a nonlinear controller," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 607(C).
    3. Weng, Tongfeng & Song, Jia & Yang, Huijie & Gu, Changgui & Zhang, Jie & Small, Michael, 2020. "Synchronization of reservoir computers with applications to communications," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 544(C).
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