Informativeness of parallel Kalman filters
type: Item
instance of: scholarly article
title: Informativeness of parallel Kalman filters
zbMATH Open document ID: 1080.94007
author: Chingiz Hajiyev
published in: Mathematical \& Computational Applications
publication date: 2006-01-16T00:00:00Z
review text: Summary: This article considers the informativeness of parallel Kalman filters. Expressions are derived for determination of the amount of information obtained by additional measurements with a reserved measurement channel during processing. The theorems asserting that there is an increase in the informativeness of Kalman filters when there is a failure-free reserved measurement channel are proved.
Mathematics Subject Classification ID: 94A17
Mathematics Subject Classification ID: 94A12
Mathematics Subject Classification ID: 93E11
Mathematics Subject Classification ID: 60G35
zbMATH DE Number: 2247763
zbMATH Keywords: Dynamic system
zbMATH Keywords: Information theory
zbMATH Keywords: Kalman filter
zbMATH Keywords: Multichannel measurement systems
MaRDI profile type: Publication
full work available at URL: mca9030457
OpenAlex ID: W2407716021
DOI: 10.3390/MCA9030457
description: scientific article