Extended Ellipsoidal Outer-Bounding Set-Membership Estimation for Nonlinear Discrete-Time Systems with Unknown-but-Bounded Disturbances

This paper develops an extended ellipsoidal outer-bounding set-membership estimation (EEOB-SME) algorithm with high accuracy and efficiency for nonlinear discrete-time systems under unknown-but-bounded (UBB) disturbances. The EEOB-SME linearizes the first-order terms about the current state estimati...

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Main Authors: Yushuang Liu, Yan Zhao, Falin Wu
Format: Article
Language:English
Published: Hindawi Limited 2016-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2016/3918797
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spelling doaj-5743710fd7484a189d3a4d80fc69430f2020-11-24T22:43:32ZengHindawi LimitedDiscrete Dynamics in Nature and Society1026-02261607-887X2016-01-01201610.1155/2016/39187973918797Extended Ellipsoidal Outer-Bounding Set-Membership Estimation for Nonlinear Discrete-Time Systems with Unknown-but-Bounded DisturbancesYushuang Liu0Yan Zhao1Falin Wu2School of Instrumentation Science and Opto-Electronics Engineering, Beihang University (BUAA), Beijing 100191, ChinaSchool of Instrumentation Science and Opto-Electronics Engineering, Beihang University (BUAA), Beijing 100191, ChinaSchool of Instrumentation Science and Opto-Electronics Engineering, Beihang University (BUAA), Beijing 100191, ChinaThis paper develops an extended ellipsoidal outer-bounding set-membership estimation (EEOB-SME) algorithm with high accuracy and efficiency for nonlinear discrete-time systems under unknown-but-bounded (UBB) disturbances. The EEOB-SME linearizes the first-order terms about the current state estimations and bounds the linearization errors by ellipsoids using interval analysis for nonlinear equations of process and measurement equations, respectively. It has been demonstrated that the EEOB-SME algorithm is stable and the estimation errors of the EEOB-SME are bounded when the nonlinear system is observable. The EEOB-SME decreases the computation load and the feasible sets of EEOB-SME contain more true states. The efficiency of the EEOB-SME algorithm has been shown by a numerical simulation under UBB disturbances.http://dx.doi.org/10.1155/2016/3918797
collection DOAJ
language English
format Article
sources DOAJ
author Yushuang Liu
Yan Zhao
Falin Wu
spellingShingle Yushuang Liu
Yan Zhao
Falin Wu
Extended Ellipsoidal Outer-Bounding Set-Membership Estimation for Nonlinear Discrete-Time Systems with Unknown-but-Bounded Disturbances
Discrete Dynamics in Nature and Society
author_facet Yushuang Liu
Yan Zhao
Falin Wu
author_sort Yushuang Liu
title Extended Ellipsoidal Outer-Bounding Set-Membership Estimation for Nonlinear Discrete-Time Systems with Unknown-but-Bounded Disturbances
title_short Extended Ellipsoidal Outer-Bounding Set-Membership Estimation for Nonlinear Discrete-Time Systems with Unknown-but-Bounded Disturbances
title_full Extended Ellipsoidal Outer-Bounding Set-Membership Estimation for Nonlinear Discrete-Time Systems with Unknown-but-Bounded Disturbances
title_fullStr Extended Ellipsoidal Outer-Bounding Set-Membership Estimation for Nonlinear Discrete-Time Systems with Unknown-but-Bounded Disturbances
title_full_unstemmed Extended Ellipsoidal Outer-Bounding Set-Membership Estimation for Nonlinear Discrete-Time Systems with Unknown-but-Bounded Disturbances
title_sort extended ellipsoidal outer-bounding set-membership estimation for nonlinear discrete-time systems with unknown-but-bounded disturbances
publisher Hindawi Limited
series Discrete Dynamics in Nature and Society
issn 1026-0226
1607-887X
publishDate 2016-01-01
description This paper develops an extended ellipsoidal outer-bounding set-membership estimation (EEOB-SME) algorithm with high accuracy and efficiency for nonlinear discrete-time systems under unknown-but-bounded (UBB) disturbances. The EEOB-SME linearizes the first-order terms about the current state estimations and bounds the linearization errors by ellipsoids using interval analysis for nonlinear equations of process and measurement equations, respectively. It has been demonstrated that the EEOB-SME algorithm is stable and the estimation errors of the EEOB-SME are bounded when the nonlinear system is observable. The EEOB-SME decreases the computation load and the feasible sets of EEOB-SME contain more true states. The efficiency of the EEOB-SME algorithm has been shown by a numerical simulation under UBB disturbances.
url http://dx.doi.org/10.1155/2016/3918797
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AT yanzhao extendedellipsoidalouterboundingsetmembershipestimationfornonlineardiscretetimesystemswithunknownbutboundeddisturbances
AT falinwu extendedellipsoidalouterboundingsetmembershipestimationfornonlineardiscretetimesystemswithunknownbutboundeddisturbances
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