A Contraction Theory-Based Analysis of the Stability of the Deterministic Extended Kalman Filter

The contraction properties of the extended Kalman filter, viewed as a deterministic observer for nonlinear systems, are analyzed. The approach relies on the study of an auxiliary “virtual” dynamical system. Some conditions under which exponential convergence of the state error can be guaranteed are...

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Main Authors: Bonnabel, Silvere, Slotine, Jean-Jacques E.
Other Authors: Massachusetts Institute of Technology. Department of Mechanical Engineering
Format: Article
Language:en_US
Published: Institute of Electrical and Electronics Engineers (IEEE) 2015
Online Access:http://hdl.handle.net/1721.1/97723
https://orcid.org/0000-0002-7161-7812
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author Bonnabel, Silvere
Slotine, Jean-Jacques E.
author2 Massachusetts Institute of Technology. Department of Mechanical Engineering
author_facet Massachusetts Institute of Technology. Department of Mechanical Engineering
Bonnabel, Silvere
Slotine, Jean-Jacques E.
author_sort Bonnabel, Silvere
collection MIT
description The contraction properties of the extended Kalman filter, viewed as a deterministic observer for nonlinear systems, are analyzed. The approach relies on the study of an auxiliary “virtual” dynamical system. Some conditions under which exponential convergence of the state error can be guaranteed are derived. Moreover, contraction provides a simple formalism to study some robustness properties of the filter, especially with respect to measurement errors, as illustrated by a simplified inertial navigation example. This technical note sheds another light on the theoretical properties of this popular observer.
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spelling mit-1721.1/977232022-10-01T04:46:21Z A Contraction Theory-Based Analysis of the Stability of the Deterministic Extended Kalman Filter Bonnabel, Silvere Slotine, Jean-Jacques E. Massachusetts Institute of Technology. Department of Mechanical Engineering Massachusetts Institute of Technology. Nonlinear Systems Laboratory Slotine, Jean-Jacques E. The contraction properties of the extended Kalman filter, viewed as a deterministic observer for nonlinear systems, are analyzed. The approach relies on the study of an auxiliary “virtual” dynamical system. Some conditions under which exponential convergence of the state error can be guaranteed are derived. Moreover, contraction provides a simple formalism to study some robustness properties of the filter, especially with respect to measurement errors, as illustrated by a simplified inertial navigation example. This technical note sheds another light on the theoretical properties of this popular observer. 2015-07-13T14:42:08Z 2015-07-13T14:42:08Z 2015-01 2014-03 Article http://purl.org/eprint/type/JournalArticle 0018-9286 1558-2523 http://hdl.handle.net/1721.1/97723 Bonnabel, Silvere, and Jean-Jacques Slotine. “A Contraction Theory-Based Analysis of the Stability of the Deterministic Extended Kalman Filter.” IEEE Trans. Automat. Contr. 60, no. 2 (February 2015): 565–569. https://orcid.org/0000-0002-7161-7812 en_US http://dx.doi.org/10.1109/TAC.2014.2336991 IEEE Transactions on Automatic Control Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Institute of Electrical and Electronics Engineers (IEEE) arXiv
spellingShingle Bonnabel, Silvere
Slotine, Jean-Jacques E.
A Contraction Theory-Based Analysis of the Stability of the Deterministic Extended Kalman Filter
title A Contraction Theory-Based Analysis of the Stability of the Deterministic Extended Kalman Filter
title_full A Contraction Theory-Based Analysis of the Stability of the Deterministic Extended Kalman Filter
title_fullStr A Contraction Theory-Based Analysis of the Stability of the Deterministic Extended Kalman Filter
title_full_unstemmed A Contraction Theory-Based Analysis of the Stability of the Deterministic Extended Kalman Filter
title_short A Contraction Theory-Based Analysis of the Stability of the Deterministic Extended Kalman Filter
title_sort contraction theory based analysis of the stability of the deterministic extended kalman filter
url http://hdl.handle.net/1721.1/97723
https://orcid.org/0000-0002-7161-7812
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