Collective stochastic resonance behavior in the globally coupled fractional oscillator
Creators
- 1. Sichuan University, Center of Aerospace Information Processing and Application, School of Aeronautics and Astronautics (China)
- 2. Sichuan Normal University, College of Mathematics and Software Science (China)
- 3. Chengdu Business BigData Inc. (BBD) (China)
- 4. Sichuan University, College of Mathematics (China)
Description
This study investigates the collective stochastic resonance (SR) behavior of globally coupled fractional Langevin equations with multiplicative noise and external signal. We define the mean field S(t) and derive the steady-state output amplitude of the first moment by using the stochastic average method. We characterize the effects of fractional order, intrinsic frequency, noise correlation rate, and driving frequency on the steady-state output amplitude as a function of noise intensity. We observe that the collective SR phenomenon occurs in a fractional coupled stochastic dynamic system. We also demonstrate that collective SR behavior versus noise intensity can ensue when system parameters satisfy the necessary and sufficient conditions; this notion means that we can control the collective SR of our fractional dynamic model by properly adjusting the system parameters within a certain range. This study verifies the reliability and effectiveness of the theoretical results by various numerical simulations. Our results on SR in a globally coupled fractional harmonic oscillator provide useful information in modern science.
Additional details
Identifiers
Publishing Information
- Journal Title
- Nonlinear Dynamics
- Journal Volume
- 94
- Journal Issue
- 2
- Journal Page Range
- p. 905-923
- ISSN
- 0924-090X
INIS
- Country of Publication
- Netherlands
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 50026533
- Subject category
- S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
- Descriptors DEI
- AMPLITUDES; COMPUTERIZED SIMULATION; DYNAMICS; HARMONIC OSCILLATORS; LANGEVIN EQUATION; MEAN-FIELD THEORY; NOISE; RELIABILITY; RESONANCE; SIGNALS; STEADY-STATE CONDITIONS; STOCHASTIC PROCESSES
- Descriptors DEC
- EQUATIONS; MECHANICS; SIMULATION
Optional Information
- Copyright
- Copyright (c) 2018 Springer Nature B.V.