Distributed estimation based on information-based covariance intersection algorithms

Magdi S. Mahmoud*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

A distributed estimation approach is developed in this paper using information matrix filter on a distributed tracking system in which multiple sensors are tracking the same target. The information matrix filter version is derived from covariance intersection, weighted covariance and Kalman-like particle filter, respectively. The steady performance of these filters is evaluated with different feedback strategies. The developed filters are then validated on an industrial utility boiler.

Original languageEnglish
Pages (from-to)750-778
Number of pages29
JournalInternational Journal of Adaptive Control and Signal Processing
Volume30
Issue number5
DOIs
StatePublished - 1 May 2016

Bibliographical note

Publisher Copyright:
© Copyright 2015 John Wiley & Sons, Ltd.

Keywords

  • Kalman-like particle filter
  • covariance intersection
  • industrial utility boiler
  • information matrix filter
  • weighted covariance

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Signal Processing
  • Electrical and Electronic Engineering

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