Tempered Mittag-Leffler noise-induced resonant behaviors in the generalized Langevin system with random mass
Tempered Mittag-Leffler noise-induced resonant behaviors in the generalized Langevin system with random mass
复制标题
具有随机质量的广义 Langevin 系统中的缓和 Mittag-Leffler 噪声引起的谐振行为
DOI:
10.1007/s11071-019-05228-7
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发表时间:
2019-09
影响因子:
5.6
通讯作者:
Wang Huiqi
中科院分区:
文献类型:
--
作者:
Lin Lifeng;Wang Huiqi
In this study, we propose the fluctuating-mass generalized Langevin equation (GLE) with a tempered Mittag-Leffler (M-L) noise, and investigate the generalized stochastic resonance (GSR) phenomena in terms of output amplitude amplification. Based on numerical results, we study the dependence on various parameters systematically, and further discuss the interplay between memory exponent, memory time and tempering parameter, which diversifies the stochastic multi-resonance (SMR), including double-peak GSR, triple-peak GSR and quadruple-peak GSR. It is worth emphasizing that the latter two SMR phenomena have not been observed in the GLE with tempered fractional Gaussian noise. Moreover, as a generalization with tempered M-L noise, the conventional GLEs with M-L memory kernel, power-law memory kernel, or exponent-form memory kernel, can be effectively derived as the special cases of tempered M-L memory kernel. Thus, these results also provide more extensive support for manipulating the GSR behaviors through system parameter control in the potential applications.
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DOI:
10.1103/physreve.93.032151
发表时间:
2016-01
期刊:
Physical review. E
影响因子:
--
作者:
Xiaochao Wu;W. Deng;E. Barkai
通讯作者:
Xiaochao Wu;W. Deng;E. Barkai
DOI:
10.1103/physreve.90.062103
发表时间:
2014-12
期刊:
Physical review. E, Statistical, nonlinear, and soft matter physics
影响因子:
--
作者:
A. Viñales;G. Paissan
通讯作者:
A. Viñales;G. Paissan
DOI:
10.1103/physreve.88.042712
发表时间:
2013-10
期刊:
Physical review. E, Statistical, nonlinear, and soft matter physics
影响因子:
--
作者:
M. Uzuntarla;J. Cressman;M. Ozer;Ernest Barreto
通讯作者:
M. Uzuntarla;J. Cressman;M. Ozer;Ernest Barreto
影响因子:
11.9
作者:
Sun Kangkang;Mou Shaoshuai;Qiu Jianbin;Wang Tong;Gao Huijun
通讯作者:
Gao Huijun
影响因子:
2.9
作者:
Zeng Caibin;Yang Qigui;Chen YangQuan
通讯作者:
Chen YangQuan