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An underdamped and delayed tri-stable model-based stochastic resonance |
Yan-Fei Jin(靳艳飞)†, Hao-Tian Wang(王昊天), and Ting-Ting Zhang(张婷婷) |
Department of Mechanics, Beijing Institute of Technology, Beijing 100081, China |
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Abstract Stochastic resonance (SR) is investigated in an underdamped tri-stable potential system driven by Gaussian colored noise and a periodic excitation, where both displacement and velocity time-delayed states feedback are considered. It is challenging to study SR in a second-order delayed multi-stable system analytically. In this paper, the improved energy envelope stochastic average method is developed to derive the analytical expressions of stationary probability density (SPD) and spectral amplification. The effects of noise intensity, damping coefficient, and time delay on SR are analyzed. The results show that the shapes of joint SPD can be adjusted to the desired structure by choosing the time delay and feedback gains. For fixed time delay, the SR peak is increased for negative displacement or velocity feedback gain. Meanwhile, the SR peak is decreased while the optimal noise intensity increases with increasing correlation time of noise. The Monte Carlo simulations (MCS) confirm the effectiveness of the theoretical results.
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Received: 11 September 2023
Revised: 07 October 2023
Accepted manuscript online: 10 October 2023
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PACS:
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05.40.-a
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(Fluctuation phenomena, random processes, noise, and Brownian motion)
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02.50.-r
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(Probability theory, stochastic processes, and statistics)
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Fund: Project supported by the National Natural Science Foundation of China (Grant No. 12072025) and the Beijing Natural Science Foundation (Grant No. 1222015). |
Corresponding Authors:
Yan-Fei Jin
E-mail: jinyf@bit.edu.cn
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Cite this article:
Yan-Fei Jin(靳艳飞), Hao-Tian Wang(王昊天), and Ting-Ting Zhang(张婷婷) An underdamped and delayed tri-stable model-based stochastic resonance 2024 Chin. Phys. B 33 010501
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