Published December 5, 2003
| Version v1
Journal article
How to tune the system parameters to realize stochastic resonance
Creators
- 1. Department of Mechanics, State Key Laboratory of Fluid Power Transmission and Control, Zhejiang University, Hangzhou 310027 (China)
- 2. Institute of Chemical Process Equipment, Zhejiang University, Hangzhou 310027 (China)
Description
The paper presents a numerical method of realizing stochastic resonance (SR) by tuning system parameters. Firstly, a simple and effective method of evaluating the system response speed λ1 is introduced. Then the parameter-induced SR problem can be reduced to the parameter optimization problem under the condition λ1 = const. To solve this optimization problem, we put forward the following techniques: (i) compensate the deviation from the prescribed system response speed λ1 at each step, (ii) take the curve length increment on the parameter plane as the step size in searching the maximal signal-to-noise ratio (SNR) gain. Finally, a numerical simulation confirms the effectiveness of this method
Availability note (English)
Available online at http://stacks.iop.org/0305-4470/36/11969/a3_48_005.pdf or at the Web site for the Journal of Physics. A, Mathematical and General (ISSN 1361-6447) http://www.iop.org/Additional details
Identifiers
- URL
- http://stacks.iop.org/0305-4470/36/11969/a3_48_005.pdf; http://www.iop.org/;
- DOI
- 10.1088/0305-4470/36/48/005;
- PII
- S0305-4470(03)66020-8;
Publishing Information
- Journal Title
- Journal of Physics. A, Mathematical and General
- Journal Volume
- 36
- Journal Issue
- 48
- Journal Page Range
- p. 11969-11980
- ISSN
- 0305-4470
- CODEN
- JPHAC5
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 35018322
- Subject category
- S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
- Descriptors DEI
- CHAOS THEORY; OPTIMIZATION; SIGNAL-TO-NOISE RATIO; SIMULATION; STOCHASTIC PROCESSES
- Descriptors DEC
- MATHEMATICS