Enhancement of stochastic resonance by tuning system parameters and adding noise simultaneously

Xingxing Wu, Zhong Ping Jiang, Daniel W. Repperger

Research output: Chapter in Book/Report/Conference proceedingConference contribution


The stochastic resonance effect can be realized by tuning system parameters or by adding noise. This paper investigates the possibility to enhance the stochastic resonance effect by tuning system parameters and adding noise simultaneously. First, we use examples to demonstrate the situation where only the system parameters or noise can be adjusted to maximize the stochastic resonance effect. Then, it is shown, using standard optimization theory, that the normalized power norm of the bistable double-well system with aperiodic input signal can reach a larger maximal value by tuning the system parameter and adding noise simultaneously. Finally, for the purpose of practical implementation, searching for the optimal system parameter and noise intensity is realized by an on-line fast-converging optimization algorithm.

Original languageEnglish (US)
Title of host publicationProceedings of the 2006 American Control Conference
Number of pages6
StatePublished - 2006
Event2006 American Control Conference - Minneapolis, MN, United States
Duration: Jun 14 2006Jun 16 2006

Publication series

NameProceedings of the American Control Conference
ISSN (Print)0743-1619


Other2006 American Control Conference
Country/TerritoryUnited States
CityMinneapolis, MN


  • Optimization
  • Signal processing
  • Stochastic resonance

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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