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Dynamics of the delay-coupled bubble system combined with the stochastic term

Author

Listed:
  • Wang, Qiubao
  • Han, Zikun
  • Zhang, Xing
  • Yang, Yuejuan

Abstract

The purpose of this paper is to study the mechanisms of the delay-coupled bubble system combined with the stochastic term from a mathematical point of view. Firstly, the dynamic behaviors of the bubble system were studied with the normal form theory, center manifold and stochastic averaging method. The stochastic bifurcation behaviors (P-bifurcation and D-bifurcation) of the bubble system were analyzed. Besides, the relationship between the dynamic behaviors of the interaction between the time delay term and the stochastic term and the stability of the bubble was numerically simulated. Finally, we compared the joint probability density curves of the bubble system and Ito^ equation. The numerical simulation results are consistent, which indicated that it is feasible to study the stochastic bifurcation behaviors of the bubble system by using the Ito^ stochastic differential equation.

Suggested Citation

  • Wang, Qiubao & Han, Zikun & Zhang, Xing & Yang, Yuejuan, 2021. "Dynamics of the delay-coupled bubble system combined with the stochastic term," Chaos, Solitons & Fractals, Elsevier, vol. 148(C).
    • Handle: RePEc:eee:chsofr:v:148:y:2021:i:c:s0960077921004070
    DOI: 10.1016/j.chaos.2021.111053
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    References listed on IDEAS

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    1. Karasu, Seçkin & Altan, Aytaç & Bekiros, Stelios & Ahmad, Wasim, 2020. "A new forecasting model with wrapper-based feature selection approach using multi-objective optimization technique for chaotic crude oil time series," Energy, Elsevier, vol. 212(C).
    2. Altan, Aytaç & Karasu, Seçkin & Bekiros, Stelios, 2019. "Digital currency forecasting with chaotic meta-heuristic bio-inspired signal processing techniques," Chaos, Solitons & Fractals, Elsevier, vol. 126(C), pages 325-336.
    3. Altan, Aytaç & Karasu, Seçkin, 2020. "Recognition of COVID-19 disease from X-ray images by hybrid model consisting of 2D curvelet transform, chaotic salp swarm algorithm and deep learning technique," Chaos, Solitons & Fractals, Elsevier, vol. 140(C).
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