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Publikacje Pracowników Politechniki Lubelskiej
MNiSW
40
Lista A
Status:
Autorzy: Yang J. H., Sanjuan Miguel A. F., Liu H. G., Litak Grzegorz, Li X.
Rok wydania: 2016
Wersja dokumentu: Drukowana | Elektroniczna
Język: angielski
Wolumen/Tom: 41
Strony: 104 - 117
Web of Science® Times Cited: 74
Scopus® Cytowania: 81
Bazy: Web of Science | Scopus | Web of Science Core Collection | Scopus
Efekt badań statutowych NIE
Materiał konferencyjny: NIE
Publikacja OA: NIE
Abstrakty: angielski
We investigate the stochastic response of a noisy bistable fractional-order system when the fractional-order lies in the interval (0, 2]. We focus mainly on the stochastic P-bifurcation and the phenomenon of the stochastic resonance. We compare the generalized Euler algorithm and the predictor-corrector approach which are commonly used for numerical calculations of fractional-order nonlinear equations. Based on the predictor-corrector approach, the stochastic P-bifurcation and the stochastic resonance are investigated. Both the fractional-order value and the noise intensity can induce an stochastic P-bifurcation. The fractional-order may lead the stationary probability density function to turn from a single-peak mode to a double-peak mode. However, the noise intensity may transform the stationary probability density function from a double-peak mode to a single-peak mode. The stochastic resonance is investigated thoroughly, according to the linear and the nonlinear response theory. In the linear response theory, the optimal stochastic resonance may occur when the value of the fractional-order is larger than one. In previous works, the fractional-order is usually limited to the interval (0, 1]. Moreover, the stochastic resonance at the subharmonic frequency and the superharmonic frequency are investigated respectively, by using the nonlinear response theory. When it occurs at the subharmonic frequency, the resonance may be strong and cannot be ignored. When it occurs at the superharmonic frequency, the resonance is weak. We believe that the results in this paper might be useful for the signal processing of nonlinear systems.