Optimal state estimation for discrete-time Markov jump systems with missing observations

This paper is concerned with the optimal linear estimation for a class of direct-time Markov jump systems with missing observations. An observer-based approach of fault detection and isolation (FDI) is investigated as a detection mechanic of fault case. For systems with known information, a conditio...

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Main Authors: Sun, Q., Zhao, S., Yin, YanYan
Format: Journal Article
Published: Hindawi Publishing Corporation 2014
Online Access:http://hdl.handle.net/20.500.11937/52237
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author Sun, Q.
Zhao, S.
Yin, YanYan
author_facet Sun, Q.
Zhao, S.
Yin, YanYan
author_sort Sun, Q.
building Curtin Institutional Repository
collection Online Access
description This paper is concerned with the optimal linear estimation for a class of direct-time Markov jump systems with missing observations. An observer-based approach of fault detection and isolation (FDI) is investigated as a detection mechanic of fault case. For systems with known information, a conditional prediction of observations is applied and fault observations are replaced and isolated; then, an FDI linear minimum mean square error estimation (LMMSE) can be developed by comprehensive utilizing of the correct information offered by systems. A recursive equation of filtering based on the geometric arguments can be obtained. Meanwhile, a stability of the state estimator will be guaranteed under appropriate assumption. © 2014 Qing Sun et al.
first_indexed 2025-11-14T09:51:00Z
format Journal Article
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institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T09:51:00Z
publishDate 2014
publisher Hindawi Publishing Corporation
recordtype eprints
repository_type Digital Repository
spelling curtin-20.500.11937-522372017-09-13T15:38:44Z Optimal state estimation for discrete-time Markov jump systems with missing observations Sun, Q. Zhao, S. Yin, YanYan This paper is concerned with the optimal linear estimation for a class of direct-time Markov jump systems with missing observations. An observer-based approach of fault detection and isolation (FDI) is investigated as a detection mechanic of fault case. For systems with known information, a conditional prediction of observations is applied and fault observations are replaced and isolated; then, an FDI linear minimum mean square error estimation (LMMSE) can be developed by comprehensive utilizing of the correct information offered by systems. A recursive equation of filtering based on the geometric arguments can be obtained. Meanwhile, a stability of the state estimator will be guaranteed under appropriate assumption. © 2014 Qing Sun et al. 2014 Journal Article http://hdl.handle.net/20.500.11937/52237 10.1155/2014/568252 Hindawi Publishing Corporation unknown
spellingShingle Sun, Q.
Zhao, S.
Yin, YanYan
Optimal state estimation for discrete-time Markov jump systems with missing observations
title Optimal state estimation for discrete-time Markov jump systems with missing observations
title_full Optimal state estimation for discrete-time Markov jump systems with missing observations
title_fullStr Optimal state estimation for discrete-time Markov jump systems with missing observations
title_full_unstemmed Optimal state estimation for discrete-time Markov jump systems with missing observations
title_short Optimal state estimation for discrete-time Markov jump systems with missing observations
title_sort optimal state estimation for discrete-time markov jump systems with missing observations
url http://hdl.handle.net/20.500.11937/52237