Approximation of Processes and Applications to Control and Communication Theory,

Abstract

Diffusion models are useful and of widespread use in many areas of control and communication theory. The models are frequently used for systems that are not quite diffusions but are, hopefully, close to a diffusion in some sense. E.g., the input noise might be 'wide-band'--but not 'white-Gaussian.' Many approximation techniques have been developed, under different sets of assumptions. The typical results are of a weak convergence nature. The physical process (x (to the epsilon power) (.)) is parameterized by the parameter epsilon, and one tries to show that (x (to the epsilon power) (.)) converges weakly to some diffusion x(.) as epsilon goes to 0. The limit process x(.) is then used to study various properties of x (to the epsilon power) (.) for small epsilon.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1981
Accession Number
ADA107520

Entities

People

  • Harold J. Kushner

Organizations

  • Brown University

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Applied Mathematics
  • Convergence
  • Differential Equations
  • Diffusion
  • Engineering
  • Equations
  • Filters
  • Frequency
  • Integrals
  • Normal Density Functions
  • Operations Research
  • Queueing Theory
  • Random Variables
  • Sequences
  • Theorems
  • Weak Convergence

Readers

  • Mathematical Modeling and Probability Theory.