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Reduced-order Kalman filter for a class of continuous - time systems with slow and fast modes
Descriptive
TitleInfo
Title
Reduced-order Kalman filter for a class of continuous - time systems with slow and fast modes
Name
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Almansouri
NamePart
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Saif
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Saif Almansouri
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author
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Gajic
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Zoran
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Zoran Gajic
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Advisory Committee
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chair
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Godrich
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Hana
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Hana Godrich
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Advisory Committee
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internal member
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Orfanidis
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Sophocles
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Sophocles Orfanidis
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Advisory Committee
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internal member
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Rutgers University
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degree grantor
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Graduate School - New Brunswick
Role
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school
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Text
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theses
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2016
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2016-10
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2016
Place
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xx
Language
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eng
Abstract
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In this thesis, complete decomposition of the Kalman filter into the reduced-order Kalman filter with slow and fast modes is addressed. First, we investigate the decomposition so that the slow and fast filters are completely separated with both of filters driven by the system measurements. The simulation results are presented for such a decomposition using an aircraft example. In the second part, this thesis presents the design of reduced order Kalman filters for systems with both slow and fast modes for the case of perfect measurement. The main advantage of the reduced order approach is moderating and reducing mathematical difficulties to obtain the optimal state estimation. This will facilitate the use of Kalman filter for a class of real-time physical systems. In this thesis, we explain the effectiveness of the proposed design through theoretical studies and simulation results.
Subject
(authority = RUETD)
Topic
Electrical and Computer Engineering
Subject
(authority = ETD-LCSH)
Topic
Kalman filtering
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TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
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ETD_7727
PhysicalDescription
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electronic resource
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application/pdf
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text/xml
Extent
1 online resource (vi, 50 p. : ill.)
Note
(type = degree)
M.S.
Note
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Includes bibliographical references
Note
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by Saif Almansouri
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TitleInfo
Title
Graduate School - New Brunswick Electronic Theses and Dissertations
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rucore19991600001
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NjNbRU
Identifier
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doi:10.7282/T30867M3
Genre
(authority = ExL-Esploro)
ETD graduate
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Rights
RightsDeclaration
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The author owns the copyright to this work.
RightsHolder
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Name
FamilyName
Almansouri
GivenName
Saif
Role
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RightsEvent
Type
Permission or license
DateTime
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2016-10-03 08:08:45
AssociatedEntity
Name
saif almansouri
Role
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Affiliation
Rutgers University. Graduate School - New Brunswick
AssociatedObject
Type
License
Name
Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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