Coprime factor model reduction for discrete-time uncertain systems

Li, L

Coprime factor model reduction for discrete-time uncertain systems

Li, L

Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: IEEE Conference on Decision and Control (CDC), 2010, pp. 6213 - 6218
Issue Date:: 2010-01

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Field	Value	Language
dc.contributor.author	Li, L	en_US
dc.contributor.editor	NA	en_US
dc.date	2010-12-15	en_US
dc.date.issued	2010-01	en_US
dc.identifier.citation	IEEE Conference on Decision and Control (CDC), 2010, pp. 6213 - 6218	en_US
dc.identifier.isbn	978-1-4244-7745-6	en_US
dc.identifier.uri	http://hdl.handle.net/10453/16473
dc.description.abstract	This paper presents a contractive coprime factor model reduction approach for discrete-time uncertain systems of LFT form with norm bounded structured uncertainty. A systematic approach is proposed for coprime factorization and contractive coprime factorization of the underlying uncertain systems. The proposed coprime factor approach overcomes the robust stability restriction on the underlying systems which is required in the balanced truncation approach. The method is based on the use of LMIs to construct the desired reduced dimension uncertain system model.	en_US
dc.publisher	IEEE	en_US
dc.relation.ispartof	IEEE Conference on Decision and Control (CDC)	en_US
dc.relation.ispartof	IEEE Conference on Decision and Control	en_US
dc.relation.isbasedon	10.1109/CDC.2010.5717505	en_US
dc.title	Coprime factor model reduction for discrete-time uncertain systems	en_US
dc.type	Conference Proceeding
utslib.location	Piscataway, USA	en_US
utslib.location.activity	Atlanta, Georgia	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
dc.location.activity	Atlanta, Georgia	en_US
dc.location.activity	Banff, AB, Canada
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
pubs.organisational-group	/University of Technology Sydney/Strength - GEVI - Green Energy and Vehicle Innovations
utslib.copyright.status	open_access
pubs.consider-herdc	false	en_US
pubs.notes	OK-SAM	en_US
pubs.place-of-publication	Piscataway, USA	en_US
pubs.start-date	2010-12-15	en_US

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Abstract:

This paper presents a contractive coprime factor model reduction approach for discrete-time uncertain systems of LFT form with norm bounded structured uncertainty. A systematic approach is proposed for coprime factorization and contractive coprime factorization of the underlying uncertain systems. The proposed coprime factor approach overcomes the robust stability restriction on the underlying systems which is required in the balanced truncation approach. The method is based on the use of LMIs to construct the desired reduced dimension uncertain system model.

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http://hdl.handle.net/10453/16473