Open AccessStochastic bifurcation analysis of a bistable Duffing oscillator with fractional damping under multiplicative noise excitation
Author(s) -
Yajie Li,
Zhiqiang Wu,
Qixun Lan,
Yujie Cai,
HaiBing Xu,
Yongtao Sun
Publication year - 2021
Publication title -
thermal science/thermal science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.339
H-Index - 43
eISSN - 2334-7163
pISSN - 0354-9836
DOI - 10.2298/tsci200210040l
Subject(s) - mathematics , duffing equation , multiplicative noise , mathematical analysis , probability density function , amplitude , bistability , control theory (sociology) , physics , nonlinear system , quantum mechanics , statistics , control (management) , management , signal transfer function , digital signal processing , analog signal , electrical engineering , economics , engineering
The stochastic P-bifurcation behavior of bi-stability in a Duffing oscillator with fractional damping under multiplicative noise excitation is investigated. Firstly, in order to consider the influence of Duffing term, the non-linear stiffness can be equivalent to a linear stiffness which is a function of the system amplitude, and then, using the principle of minimal mean square error, the fractional derivative term can be equivalent to a linear combination of damping and restoring forces, thus, the original system is simplified to an equivalent integer order Duffing system. Secondly, the system amplitude?s stationary probability density function is obtained by stochastic averaging, and then according to the singularity theory, the critical parametric conditions for the system amplitude?s stochastic P-bifurcation are found. Finally, the types of the system?s stationary probability density function curves of amplitude are qualitatively analyzed by choosing the corresponding parameters in each area divided by the transition set curves. The consistency between the analytical results and the numerical results obtained from Monte-Carlo simulation verifies the theoretical analysis, and the method used in this paper can directly guide the design of the fractional order controller to adjust the behaviors of the system.