Robust Approximations for the Filtering Problem

Abstract

A diffusion observation process is approximated by a Markov chain. The information obtained by observing the Markov chain is the same as that obtained by observing a related multivariate point process. Filtering and Zakai equations are obtained for multivariate point process observations. These involve Stieltjes integrals rather than Ito integrals with respect to Brownian motion, and so they provide robust formulae, that is, formulae which are continuous in the observation process. (kr)

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1982
Accession Number
ADA222409

Entities

People

  • Robert J. Elliott

Organizations

  • University of Alberta

Tags

DTIC Thesaurus Topics

  • Brownian Motion
  • Diffusion
  • Electro-Optics
  • Equations
  • Filtration
  • Integrals
  • Markov Chains
  • Markov Processes
  • Military Research
  • Night Vision
  • Observation
  • Probability
  • Stochastic Processes

Fields of Study

  • Mathematics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Calculus or Mathematical Analysis