Published December 5, 2003 | Version v1
Journal article

How to tune the system parameters to realize stochastic resonance

  • 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

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