Published October 2022
| Version v1
Journal article
Stochastic resonance for a bistable system with multiplicative noise and additive recycled noise
Creators
- 1. School of Control Engineering, Chengdu University of Information Technology, Chengdu, 610225 (China)
- 2. Key Laboratory on Aero-Engine Altitude Simulation Technology, Sichuan Gas Turbine Establishment, AECC, Mianyang, 621000 (China)
- 3. Sichuan Gas Turbine Establishment, AECC, Mianyang, 621000 (China)
- 4. School of Management and Economics, University of Electronic Science and Technology of China, Chengdu, 611731 (China)
- 5. School of Information Engineering, Southwest University of Science and Technology, Mianyang, 621010 (China)
- 6. School of Power and Energy, Northwestern Polytechnical University, Xi'an, 710072 (China)
Description
The stochastic resonance (SR) phenomenon for a bistable system with multiplicative noise and additive recycled noise is investigated. The transition rate caused by the master noise and that by the recycled noise have been obtained. The spectral amplification (SA) for the system has been derived. It is shown that the SR phenomenon appears when the SA varies with the feed coefficient of the recycled noise. Periodic SR behavior can be observed when the SA changes with the increase in the time delay of the recycled noise. The SA displays a resonance peak at certain level of the multiplicative and additive noise, displaying the signature of SR. The non-monotonous influence of the system parameters on the SA is also discussed. (author)
Additional details
Identifiers
Publishing Information
- Journal Title
- Indian Journal of Physics (Online)
- Journal Volume
- 96
- Journal Issue
- 12
- Journal Page Range
- p. 3713-3719
- ISSN
- 0974-9845
INIS
- Country of Publication
- India
- Country of Input or Organization
- India
- INIS RN
- 53106479
- Subject category
- S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
- Descriptors DEI
- CHAOS THEORY; GAUSSIAN PROCESSES; MONTE CARLO METHOD; NOISE; STOCHASTIC PROCESSES
- Descriptors DEC
- CALCULATION METHODS; MATHEMATICS