Distributed filter design for cooperative ho-type estimation

Wu, J; Li, L; Ugrinovskii, V; Allgower, F

Distributed filter design for cooperative ho-type estimation

Wu, J Li, L

Ugrinovskii, V Allgower, F

Permalink

Publication Type:: Conference Proceeding
Citation:: 2015 IEEE Conference on Control and Applications, CCA 2015 - Proceedings, 2015, pp. 1373 - 1378
Issue Date:: 2015-11-04

Open Access

Copyright Clearance Process

Recently Added
In Progress
Open Access

This item is open access.

Adobe PDF

Download Accepted Manuscript versionAdobe PDF (139.98 kB)

View on publisher's site

View statistics

Full metadata record

Field	Value	Language
dc.contributor.author	Wu, J	en_US
dc.contributor.author	Li, L https://orcid.org/0000-0001-8485-2216	en_US
dc.contributor.author	Ugrinovskii, V	en_US
dc.contributor.author	Allgower, F	en_US
dc.date.issued	2015-11-04	en_US
dc.identifier.citation	2015 IEEE Conference on Control and Applications, CCA 2015 - Proceedings, 2015, pp. 1373 - 1378	en_US
dc.identifier.isbn	9781479977871	en_US
dc.identifier.uri	http://hdl.handle.net/10453/43760
dc.description.abstract	© 2015 IEEE. In this paper, we consider the distributed robust filtering problem, where estimator design is based on a set of coupled linear matrix inequalities (LMIs). We separate the problem and show that the method of multipliers can be applied to obtain a solution efficiently and in a decentralized fashion, i.e. all local estimators can compute their filter gains locally, with communications restricted to their neighbors.	en_US
dc.relation.ispartof	2015 IEEE Conference on Control and Applications, CCA 2015 - Proceedings	en_US
dc.relation.isbasedon	10.1109/CCA.2015.7320803	en_US
dc.title	Distributed filter design for cooperative ho-type estimation	en_US
dc.type	Conference Proceeding
utslib.for	0906 Electrical and Electronic Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US

Abstract:

© 2015 IEEE. In this paper, we consider the distributed robust filtering problem, where estimator design is based on a set of coupled linear matrix inequalities (LMIs). We separate the problem and show that the method of multipliers can be applied to obtain a solution efficiently and in a decentralized fashion, i.e. all local estimators can compute their filter gains locally, with communications restricted to their neighbors.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/43760