A Scattering Framework for Decentralized Estimation Problems,

Abstract

In this paper we develop a comprehensive framework for the study of decentralized estimation problems. This approach imbeds a decentralized estimation problem into an equivalent scattering problem, and makes use of the superposition principle to relate local and centralized estimates. Some decentralized filtering and smoothing algorithms are obtained for a simple estimation structure consisting of a central processor and of two local processors. The case when the local processors exchange some information is considered, as well as the case when the local state-space models differ from the central one. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1981
Accession Number
ADA098117

Entities

People

  • Alan S. Willsky
  • Bernard C. Lévy
  • David A. Castañón
  • George C. Verghese

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Command And Control
  • Command And Control Systems
  • Computations
  • Computer Science
  • Computers
  • Difference Equations
  • Differential Equations
  • Electrical Engineering
  • Electronic Circuits
  • Engineering
  • Equations
  • Hilbert Space
  • Mathematical Filters
  • Sensor Networks
  • Systems Engineering
  • Very Large Scale Integration

Fields of Study

  • Engineering
  • Mathematics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Theoretical Analysis.

Technology Areas

  • Space