Performance and stochastic stability of the adaptive fading extended Kalman filter with the matrix forgetting factor

In this paper, the stability of the adaptive fading extended Kalman filter with the matrix forgetting factor when applied to the state estimation problem with noise terms in the non–linear discrete–time stochastic systems has been analysed. The analysis is conducted in a similar manner to the standa...

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Main Authors: Biçer Cenker, Özbek Levent, Erbay Hasan
Format: Article
Language:English
Published: De Gruyter 2016-01-01
Series:Open Mathematics
Subjects:
Online Access:http://www.degruyter.com/view/j/math.2016.14.issue-1/math-2016-0083/math-2016-0083.xml?format=INT
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author Biçer Cenker
Özbek Levent
Erbay Hasan
author_facet Biçer Cenker
Özbek Levent
Erbay Hasan
author_sort Biçer Cenker
collection DOAJ
description In this paper, the stability of the adaptive fading extended Kalman filter with the matrix forgetting factor when applied to the state estimation problem with noise terms in the non–linear discrete–time stochastic systems has been analysed. The analysis is conducted in a similar manner to the standard extended Kalman filter’s stability analysis based on stochastic framework. The theoretical results show that under certain conditions on the initial estimation error and the noise terms, the estimation error remains bounded and the state estimation is stable.
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spelling doaj.art-411f17fd7ff248c5adae6a27772cd95e2022-12-21T19:00:45ZengDe GruyterOpen Mathematics2391-54552016-01-0114193494510.1515/math-2016-0083math-2016-0083Performance and stochastic stability of the adaptive fading extended Kalman filter with the matrix forgetting factorBiçer Cenker0Özbek Levent1Erbay Hasan2Statistics Department, Arts & Science Faculty, Kırıkkale University, 71450 Kırıkkale, TurkeyDepartment of Statistics, Faculty of Science, Ankara University, 06100, Tandoğan, Ankara, TurkeyComputer Engineering Department, Engineering Faculty, Kırıkkale University, Yahşhan, 71450 Kırıkkale, TurkeyIn this paper, the stability of the adaptive fading extended Kalman filter with the matrix forgetting factor when applied to the state estimation problem with noise terms in the non–linear discrete–time stochastic systems has been analysed. The analysis is conducted in a similar manner to the standard extended Kalman filter’s stability analysis based on stochastic framework. The theoretical results show that under certain conditions on the initial estimation error and the noise terms, the estimation error remains bounded and the state estimation is stable.http://www.degruyter.com/view/j/math.2016.14.issue-1/math-2016-0083/math-2016-0083.xml?format=INTkalman filternon-linear systemsstabilityadaptive filtering15a5137hxx
spellingShingle Biçer Cenker
Özbek Levent
Erbay Hasan
Performance and stochastic stability of the adaptive fading extended Kalman filter with the matrix forgetting factor
Open Mathematics
kalman filter
non-linear systems
stability
adaptive filtering
15a51
37hxx
title Performance and stochastic stability of the adaptive fading extended Kalman filter with the matrix forgetting factor
title_full Performance and stochastic stability of the adaptive fading extended Kalman filter with the matrix forgetting factor
title_fullStr Performance and stochastic stability of the adaptive fading extended Kalman filter with the matrix forgetting factor
title_full_unstemmed Performance and stochastic stability of the adaptive fading extended Kalman filter with the matrix forgetting factor
title_short Performance and stochastic stability of the adaptive fading extended Kalman filter with the matrix forgetting factor
title_sort performance and stochastic stability of the adaptive fading extended kalman filter with the matrix forgetting factor
topic kalman filter
non-linear systems
stability
adaptive filtering
15a51
37hxx
url http://www.degruyter.com/view/j/math.2016.14.issue-1/math-2016-0083/math-2016-0083.xml?format=INT
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AT erbayhasan performanceandstochasticstabilityoftheadaptivefadingextendedkalmanfilterwiththematrixforgettingfactor