2016
DOI: 10.1142/s0218127416501029
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Bifurcations Induced in a Bistable Oscillator via Joint Noises and Time Delay

Abstract: In this paper, noise-induced and delay-induced bifurcations in a bistable Duffing-van der Pol (DVP) oscillator under time delay and joint noises are discussed theoretically and numerically. Based on the qualitative changes of the plane phase, delay-induced bifurcations are investigated in the deterministic case. However, in the stochastic case, the response of the system is a stochastic non-Markovian process owing to the existence of noise and time delay. Then, methods have been employed to derive the stationa… Show more

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Cited by 10 publications
(1 citation statement)
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“…Kumar et al [20] carry out investigations on the bifurcation characteristics of a Duffing-van der Pol oscillator subjected to white noise excitations. Fu et al [13] discuss noise-induced and delay-induced bifurcations in a bistable Duffing-van der Pol oscillator under time delay and join noises theoretically and numerically. Dubkov and Litovsky [7] investigate that the exact Fokker-Planck equation for the joint probability distribution of amplitude and phase of a van der Pol oscillator perturbed by both additive and multiplicative noise sources with arbitrary nonlinear damping is first derived by the method of functional splitting of averages.…”
Section: Introduction or The First Sectionmentioning
confidence: 99%
“…Kumar et al [20] carry out investigations on the bifurcation characteristics of a Duffing-van der Pol oscillator subjected to white noise excitations. Fu et al [13] discuss noise-induced and delay-induced bifurcations in a bistable Duffing-van der Pol oscillator under time delay and join noises theoretically and numerically. Dubkov and Litovsky [7] investigate that the exact Fokker-Planck equation for the joint probability distribution of amplitude and phase of a van der Pol oscillator perturbed by both additive and multiplicative noise sources with arbitrary nonlinear damping is first derived by the method of functional splitting of averages.…”
Section: Introduction or The First Sectionmentioning
confidence: 99%