Stochastic Resonance in a Time-Delayed Logistic Growth Model Driven by Periodic Signal and White Noise

Abstract:

stochastic resonance; time-delayed Logistic growth model; signal-to-noise ratio Abstract. The stochastic resonance in a time-delayed Logistic growth model subject to correlated multiplicative and additive white noise as well as to multiplicative periodic signal is investigated. Using small time delay approximation, we get the expression of the signal-to-noise ratio (SNR). It is found that the SNR is a non-monotonic function of the system parameters, of the intensities of the multiplicative and additive noise, as well as of the correlation strength between the two noises. The effects of the delay time in the random force is in opposition to that of the delay time in the deterministic force.

• Periodical: Applied Mechanics and Materials (Volumes 117-119)
• Pages: 703-707
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.117-119.703
• Online since: October 2011
• Authors: Yu Rong Zhou, Chong Qiu Fang
• Keywords: Signal-to-Noise Ratio (SNR), Stochastic Resonance, Time-Delayed Logistic Growth Model

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