多稳态动力系统中随机共振的研究进展

Translated title of the contribution: Stochastic resonance of multi-stable dynamical systems: A review

Yanfei Jin, Pengfei Xu, Yongge Li, Jinzhong Ma, Yong Xu*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

Abstract

The nonlinear stochastic dynamical system has been an important subject in areas of mechanics, mathematics, engineering and so on, and finds various applications in different fields like mechanical engineering, aerospace engineering, ocean engineering, and biology. The multi-stable dynamical systems are conceptual nonlinear systems, coupling with stochastic excitations, which can exhibit complex dynamical behaviors, such as stochastic resonance and stochastic bifurcation. The stochastic resonance theory has been utilized effectively in many areas related to stochastic dynamics such as mechanical fault diagnosis, weak signal detection and vibration energy harvesting. This paper overviews the fundamental theories, methods and engineering applications of stochastic resonance in multi-stable dynamical systems. We introduce recent advances in theories and measure index of stochastic resonance via several classic examples of nonlinear dynamical systems. Then, we summarize the results of multi-stable dynamical systems under the excitation of different types of noise. The tristable and periodic systems are illustrated to show the occurrence principle, evolution mechanism and investigated techniques. Finally, three engineering applications of multi-stable dynamical systems are surveyed. Some open problems are presented to close this paper.

Translated title of the contributionStochastic resonance of multi-stable dynamical systems: A review
Original languageChinese (Traditional)
Pages (from-to)357-394
Number of pages38
JournalAdvances in Mechanics
Volume53
Issue number2
DOIs
Publication statusPublished - Jun 2023

Fingerprint

Dive into the research topics of 'Stochastic resonance of multi-stable dynamical systems: A review'. Together they form a unique fingerprint.

Cite this