Enhancement of Stochastic Resonance Using Optimization Theory

Abstract

The traditional stochastic resonance is realized by adding an optimal amount of noise, while the parameter tuning stochastic resonance is realized by optimally tuning the system parameters. The further improvement of the maximal normalized power norm of the bistable double-well dynamic system with white Gaussian noise input can be converted to an optimization problem with constraints on system parameters and noise intensity, which is proven to have one and only one local maximum for the Gaussian-distributed weak input signal.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2006
Accession Number
ADA460357

Entities

People

  • Daniel W. Repperger
  • Xingxing Wu
  • Yi Guo
  • Zhong-Ping Jiang

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies
  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Algorithms
  • Computer Simulations
  • Contracts
  • Engineering
  • Gaussian Noise
  • Governments
  • Intensity
  • Military Research
  • Noise
  • Optimization
  • Resonance
  • Signal Processing
  • Simulations
  • Standards
  • Two Dimensional

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Materials Science and Engineering.