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Weak signal detection based on Mathieu-Duffing oscillator with time-delay feedback and multiplicative noise

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  • Wang, QiuBao
  • Yang, YueJuan
  • Zhang, Xing

Abstract

This paper presents analytical studies of the stochastic differential equation with Mathieu-Duffing oscillator under velocity feedback control with a time delay. We derive the analytic expressions of the stationary probability density function by the stochastic center manifold and stochastic averaging method to investigate the stochastic bifurcation. We first propose a three-step procedure for weak signals detecting: (1) Ascertain the existence and detect the frequency by the “transient vacancy”(TV) of chaotic motion. (2) Detect the phase based on Melnikov function. (3) After that the frequency and phase are known, we detect the amplitude by the transition between chaotic and large-scale periodic motion. In addition, the effects of the time-delayed feedback on the theoretical chaotic threshold are investigated under Gaussian white noise based on the Langevin and the Melnikov function. The time-delayed feedback τ can reduce the theoretical chaotic threshold, which is beneficial to detect the weak signal with the change of motion state. Subsequently, the “TV” method has obvious advantages of higher accuracy from the perspective of numerical simulation.

Suggested Citation

  • Wang, QiuBao & Yang, YueJuan & Zhang, Xing, 2020. "Weak signal detection based on Mathieu-Duffing oscillator with time-delay feedback and multiplicative noise," Chaos, Solitons & Fractals, Elsevier, vol. 137(C).
    • Handle: RePEc:eee:chsofr:v:137:y:2020:i:c:s0960077920302320
    DOI: 10.1016/j.chaos.2020.109832
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    References listed on IDEAS

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    1. Zaitang Huang & Weihua Lei, 2013. "Deterministic and Stochastic Bifurcations of the Catalytic CO Oxidation on Ir(111) Surfaces with Multiple Delays," Abstract and Applied Analysis, Hindawi, vol. 2013, pages 1-14, March.
    2. Yilmaz, Ergin & Ozer, Mahmut, 2015. "Delayed feedback and detection of weak periodic signals in a stochastic Hodgkin–Huxley neuron," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 421(C), pages 455-462.
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    Cited by:

    1. Zhu, Jue & Yuan, Wei-bin & Li, Long-yuan, 2021. "Cross-sectional flattening-induced nonlinear damped vibration of elastic tubes subjected to transverse loads," Chaos, Solitons & Fractals, Elsevier, vol. 151(C).
    2. Hossein Amini & Ali Mehrizi-Sani & Reza Noroozian, 2024. "Passive Islanding Detection of Inverter-Based Resources in a Noisy Environment," Energies, MDPI, vol. 17(17), pages 1-20, September.
    3. Huang, Pengfei & Chai, Yi & Chen, Xiaolong, 2022. "Multiple dynamics analysis of Lorenz-family systems and the application in signal detection," Chaos, Solitons & Fractals, Elsevier, vol. 156(C).
    4. Minghui Lv & Xiaopeng Yan & Ke Wang & Xinhong Hao & Jian Dai, 2024. "Adaptive Measurement and Parameter Estimation for Low-SNR PRBC-PAM Signal Based on Adjusting Zero Value and Chaotic State Ratio," Mathematics, MDPI, vol. 12(20), pages 1-21, October.
    5. Yang, GuiJiang & Ai, Hao & Liu, Wei & Wang, Qiubao, 2023. "Weak signal detection based on variable-situation-potential with time-delay feedback and colored noise," Chaos, Solitons & Fractals, Elsevier, vol. 169(C).
    6. Li, Haiping & Tian, Ruilan & Xue, Qiang & Zhang, Yangkun & Zhang, Xiaolong, 2022. "Improved variable scale-convex-peak method for weak signal detection," Chaos, Solitons & Fractals, Elsevier, vol. 156(C).

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