Chaotic and Bifurcating Nonlinear Systems Driven by Noise with Applications to Laser Dynamics

Abstract

One aspect of the research work was focused on the effects of noise as a driving force in various nonlinear dynamical systems. Effects studied were postponements of bifurcations, state dependent diffusion, a mean first passage time in a system with both random temporal forcing in a random potential, a mean first passage time problem with colored noise. A second aspect involved studies on switching properties of nonlinear systems in the presence of noise, and a special application of the results to a noise quenched, correlated, spontaneous emission laser. A third major effort was devoted to studies on stochastic resonance (SR), with a remark on the theory, a long work on the use of analog simulations in studies of SR, a study on order and disorder in SR. At this point, a study was done on noise induced topological transitions in the two- dimensional stationary probability density of an archetypal bistable system. Finally, a new quantity was introduced to general studies on SR: the escape time probability distribution, wherein the theory, digital and analog simulations were accomplished. These new studies hold great promise for applications in a number of fields, including the creation of a deeper understanding of how noise assisted information is transmitted in biological neurons.

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Document Details

Document Type
Technical Report
Publication Date
Oct 31, 1989
Accession Number
ADA234841

Entities

People

  • Frank Moss

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Contracts
  • Diffusion
  • Diseases And Disorders
  • Dynamics
  • Emission
  • Low Temperature
  • Military Research
  • Nonlinear Systems
  • Physics
  • Probability
  • Probability Distributions
  • Resonance
  • Simulations
  • Stationary
  • Switching
  • Two Dimensional

Fields of Study

  • Physics

Readers

  • Control Systems Engineering.
  • Optical Physics and Photonics.
  • Statistical inference.

Technology Areas

  • Directed Energy