The University of Southampton
University of Southampton Institutional Repository

Fixed-order H? filtering for discrete-time markovian jump linear systems with unobservable jump modes

Fixed-order H? filtering for discrete-time markovian jump linear systems with unobservable jump modes
Fixed-order H? filtering for discrete-time markovian jump linear systems with unobservable jump modes
In practical applications, it is often encountered that the jump modes of a Markovian jump linear system may not be fully accessible to the filter, and thus designing a filter which partially or totally independent of the jump modes becomes significant. In this paper, by virtue of a new stability and Hinfin performance characterization, a novel necessary and sufficient condition for the existence of mode-independent Hinfin filters is established in terms of a set of nonlinear matrix inequalities that possess special properties for computation. Then, two computational approaches are developed to solve the condition. One is based on the solution of a set of linear matrix inequalities (LMIs), and the other is based on the sequential LMI optimization with more computational effort but less conservatism. In addition, a specific property of the feasible solutions enables one to further improve the solvability of these two computational approaches
978-89-956056-2-2
424-429
Shu, Zhan
ea5dc18c-d375-4db0-bbcc-dd0229f3a1cb
Lam, James
3eea3836-efda-430c-9ad4-ae4f3d4b8c4a
Hu, Yuebin
08871633-dbaa-4e7c-9290-585b51afcca0
Shu, Zhan
ea5dc18c-d375-4db0-bbcc-dd0229f3a1cb
Lam, James
3eea3836-efda-430c-9ad4-ae4f3d4b8c4a
Hu, Yuebin
08871633-dbaa-4e7c-9290-585b51afcca0

Shu, Zhan, Lam, James and Hu, Yuebin (2009) Fixed-order H? filtering for discrete-time markovian jump linear systems with unobservable jump modes. 7th Asian Control Conference (ASCC 2009), Hong Kong, Hong Kong. 26 - 28 Aug 2009. pp. 424-429 .

Record type: Conference or Workshop Item (Paper)

Abstract

In practical applications, it is often encountered that the jump modes of a Markovian jump linear system may not be fully accessible to the filter, and thus designing a filter which partially or totally independent of the jump modes becomes significant. In this paper, by virtue of a new stability and Hinfin performance characterization, a novel necessary and sufficient condition for the existence of mode-independent Hinfin filters is established in terms of a set of nonlinear matrix inequalities that possess special properties for computation. Then, two computational approaches are developed to solve the condition. One is based on the solution of a set of linear matrix inequalities (LMIs), and the other is based on the sequential LMI optimization with more computational effort but less conservatism. In addition, a specific property of the feasible solutions enables one to further improve the solvability of these two computational approaches

This record has no associated files available for download.

More information

Published date: August 2009
Venue - Dates: 7th Asian Control Conference (ASCC 2009), Hong Kong, Hong Kong, 2009-08-26 - 2009-08-28
Organisations: Mechatronics

Identifiers

Local EPrints ID: 199985
URI: http://eprints.soton.ac.uk/id/eprint/199985
ISBN: 978-89-956056-2-2
PURE UUID: 89ec6b96-01df-4305-88af-d06dd8f69a0d
ORCID for Zhan Shu: ORCID iD orcid.org/0000-0002-5933-254X

Catalogue record

Date deposited: 26 Oct 2011 10:17
Last modified: 08 Jan 2022 03:14

Export record

Contributors

Author: Zhan Shu ORCID iD
Author: James Lam
Author: Yuebin Hu

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×