Abstract
We study the critical transition problem for a stochastically forced birhythmic vibro-impact (BVI) model with improved memory damping regime (IMDR) effect. This paper then reports a detailed probabilistic description on the random distribution of the oscillator response. Analytical criteria for critical transitions are obtained successively relying on the amplitude probability, the most probable amplitude (MPA), the joint probability, its cross-sectional view, and the contour projection, which can complement each other. Besides, numerical simulations are carried out to check the theoretical evaluation results. Detect the control parameter source inducing the transition between monorhythmicity and birhythmicity, also indicating the tipping interval of stochastic P-bifurcation and the critical evolution of the half-shaped stochastic attractor mode determined by the vibro-impact constraint, which can also be visually displayed by the intermittent behavior of time history responses. The alternation of feedback gains design of IMDR can subvert the utility direction of transitions caused by some control parameters. Shannon entropy measure is added to display a quantitative indication of the reference interval for the parameters triggering bifurcations, so as to lock effectively in the rhythm mode required by engineering application issues.
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The datasets generated and/or analyzed during the current study are available from the corresponding author upon request.
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Acknowledgements
This work was supported by the National Natural Science Foundation of China (12002250), China Postdoctoral Science Foundation (2020M683429), and the Natural Science Foundation of Shaanxi Province (2021JM-349).
Funding
National Natural Science Foundation of China, 12002250, Deli Wang, Postdoctoral Research Foundation of China, 2020M683429, Deli Wang, Natural Science Foundation of Shaanxi Province, 2021JM-349.
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Wang, D., Pei, H., Xu, W. et al. Transitions in a noisy birhythmic vibro-impact oscillator with improved memory damping regime. Nonlinear Dyn 108, 1045–1070 (2022). https://doi.org/10.1007/s11071-022-07261-5
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DOI: https://doi.org/10.1007/s11071-022-07261-5