2014
DOI: 10.1007/s11071-014-1330-4
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On simulation of a bistable system with fractional damping in the presence of stochastic coherence resonance

Abstract: A bistable dynamical system with the Duffing potential, fractional damping, and random excitation has been modelled. To excite the system, we used a stochastic force defined by Wiener random process of Gaussian distribution. As expected, stochastic resonance appeared for sufficiently high noise intensity. We estimated the critical value of the noise level as a function of derivative order q. For smaller order q, damping enhancement was reported.

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Cited by 39 publications
(5 citation statements)
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“…In some circumstances, when the system is investigated as a detector, it is interesting to compare how the response of the system is influenced by a periodic (sinusoidal) drive [37,38]. In these cases, one wants to measure the response of the system in the presence of the input E 0 sin ωt compared to the case when the system is solely subject to a random term, that is the Signal to Noise-Ratio (SNR) [54][55][56]. To characterize SR one can numerically calculate SNR using the mean square displacement in the presence of a weak signal and the mean square displacement induced by noise.…”
Section: Tools To Quantify Stochastic Resonancementioning
confidence: 99%
“…In some circumstances, when the system is investigated as a detector, it is interesting to compare how the response of the system is influenced by a periodic (sinusoidal) drive [37,38]. In these cases, one wants to measure the response of the system in the presence of the input E 0 sin ωt compared to the case when the system is solely subject to a random term, that is the Signal to Noise-Ratio (SNR) [54][55][56]. To characterize SR one can numerically calculate SNR using the mean square displacement in the presence of a weak signal and the mean square displacement induced by noise.…”
Section: Tools To Quantify Stochastic Resonancementioning
confidence: 99%
“…The nonlinear characteristics of bistable oscillators can lead to various types of motion such as periodic, quasi-periodic and chaotic (Cao et al, 2015; Firoozy and Ebrahimi-Nejad, 2020; Litak and Borowiec, 2014). Boreiry et al (2019) utilized nonlinear tools such as Poincare maps, bifurcation diagrams as well as frequency response diagrams to show the effects of nonlinear parameters on behavior of a vehicle model.…”
Section: Introductionmentioning
confidence: 99%
“…Fractional order Duffing system has been studied recently [20][21][22]. Some researchers studied fractional damped Duffing systems and found some new dynamic behaviors [23][24][25][26]. However, only few fractional orders are analyzed and the basic laws haven't been summarized systematically.…”
Section: Introductionmentioning
confidence: 99%