Multiple model estimation with inter-residual distance feedback

This paper presents a modification of the Multiple Model Adaptive Estimation concept. A trade-off problem between tracking the process and distinguishing the models is pointed out and an adaption of the elemental filters is proposed. The adaption scheme modifies the filters such that the predicted m...

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Main Authors:	Eivind J. Lund, Jens G. Balchen, Bjarne A. Foss
Format:	Article
Language:	English
Published:	Norwegian Society of Automatic Control 1992-07-01
Series:	Modeling, Identification and Control
Subjects:	Adaptive systems estimation Kalman filters parameter estimation state estimation
Online Access:	http://www.mic-journal.no/PDF/1992/MIC-1992-3-1.pdf

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spelling	doaj-da4bec8c57284988946cd029c9021a6c2020-11-24T22:52:52ZengNorwegian Society of Automatic ControlModeling, Identification and Control0332-73531890-13281992-07-0113312714010.4173/mic.1992.3.1Multiple model estimation with inter-residual distance feedbackEivind J. LundJens G. BalchenBjarne A. FossThis paper presents a modification of the Multiple Model Adaptive Estimation concept. A trade-off problem between tracking the process and distinguishing the models is pointed out and an adaption of the elemental filters is proposed. The adaption scheme modifies the filters such that the predicted measurements do not become too close in some sense. This has considerable influence on the distinguishability of the filters and thereby the properties of the Multiple Model Adaptive Estimation algorithm. Stability of the method is considered, and a simulated example demonstrates the method. http://www.mic-journal.no/PDF/1992/MIC-1992-3-1.pdfAdaptive systemsestimationKalman filtersparameter estimationstate estimation
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Eivind J. Lund Jens G. Balchen Bjarne A. Foss
spellingShingle	Eivind J. Lund Jens G. Balchen Bjarne A. Foss Multiple model estimation with inter-residual distance feedback Modeling, Identification and Control Adaptive systems estimation Kalman filters parameter estimation state estimation
author_facet	Eivind J. Lund Jens G. Balchen Bjarne A. Foss
author_sort	Eivind J. Lund
title	Multiple model estimation with inter-residual distance feedback
title_short	Multiple model estimation with inter-residual distance feedback
title_full	Multiple model estimation with inter-residual distance feedback
title_fullStr	Multiple model estimation with inter-residual distance feedback
title_full_unstemmed	Multiple model estimation with inter-residual distance feedback
title_sort	multiple model estimation with inter-residual distance feedback
publisher	Norwegian Society of Automatic Control
series	Modeling, Identification and Control
issn	0332-7353 1890-1328
publishDate	1992-07-01
description	This paper presents a modification of the Multiple Model Adaptive Estimation concept. A trade-off problem between tracking the process and distinguishing the models is pointed out and an adaption of the elemental filters is proposed. The adaption scheme modifies the filters such that the predicted measurements do not become too close in some sense. This has considerable influence on the distinguishability of the filters and thereby the properties of the Multiple Model Adaptive Estimation algorithm. Stability of the method is considered, and a simulated example demonstrates the method.
topic	Adaptive systems estimation Kalman filters parameter estimation state estimation
url	http://www.mic-journal.no/PDF/1992/MIC-1992-3-1.pdf
work_keys_str_mv	AT eivindjlund multiplemodelestimationwithinterresidualdistancefeedback AT jensgbalchen multiplemodelestimationwithinterresidualdistancefeedback AT bjarneafoss multiplemodelestimationwithinterresidualdistancefeedback
_version_	1725664273704681472

Multiple model estimation with inter-residual distance feedback

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