2006
DOI: 10.1016/j.chaos.2005.04.035
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Stochastic chaos in a Duffing oscillator and its control

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Cited by 30 publications
(18 citation statements)
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“…However, effective numerical methods to solve such high dimensional Fokker-Planck equations in the large unbounded domain are still under development [2]. Instead, in this section, we generate the most probable phase portrait by sample-wise simulation (often called Monte-Carlo simulation) for the following Duffing oscillator with harmonic excitation and multiplicative noise [12,15] dx = ydt, dy = (γ 1 cos(wt) + a 1 x − a 2 y − a 3 x 3 )dt + γ 2 xdB t .…”
Section: Accepted Manuscriptmentioning
confidence: 99%
“…However, effective numerical methods to solve such high dimensional Fokker-Planck equations in the large unbounded domain are still under development [2]. Instead, in this section, we generate the most probable phase portrait by sample-wise simulation (often called Monte-Carlo simulation) for the following Duffing oscillator with harmonic excitation and multiplicative noise [12,15] dx = ydt, dy = (γ 1 cos(wt) + a 1 x − a 2 y − a 3 x 3 )dt + γ 2 xdB t .…”
Section: Accepted Manuscriptmentioning
confidence: 99%
“…The third method, introduced in [7,8], and improved by Li [9], is an effective analytical method [10,11]. Recently stochastic bifurcation and chaos in some typical dynamical models were successfully analyzed by the Chebyshev polynomial approximation [12,13], but there are few reports on stochastic synchronization so far.…”
Section: Introductionmentioning
confidence: 99%
“…The works [36][37][38] have illustrated that bifurcations and chaos in stochastic systems with random parameters are different from the deterministic system with their own features. Wu [39] has discussed in detail the chaos and its control via orthogonal polynomial approximation. So far, no study has explored the bifurcation control in this kind of a stochastic system.…”
Section: Introductionmentioning
confidence: 99%