Published October 2018 | Version v1
Journal article

Collective stochastic resonance behavior in the globally coupled fractional oscillator

  • 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 A1 of the first moment S(t) 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 A1 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

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Copyright
Copyright (c) 2018 Springer Nature B.V.