Coprime factor model reduction for discrete-time uncertain systems

Li, L

Coprime factor model reduction for discrete-time uncertain systems

Li, L

Publication Type:: Conference Proceeding
Citation:: Proceedings of the IEEE Conference on Decision and Control, 2010, pp. 6213 - 6218
Issue Date:: 2010-12-01

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Field	Value	Language
dc.contributor.author	Li, L https://orcid.org/0000-0001-8485-2216	en_US
dc.date.issued	2010-12-01	en_US
dc.identifier.citation	Proceedings of the IEEE Conference on Decision and Control, 2010, pp. 6213 - 6218	en_US
dc.identifier.isbn	9781424477456	en_US
dc.identifier.issn	0191-2216	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. ©2010 IEEE.	en_US
dc.relation.ispartof	Proceedings of the 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.description.version	Published	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.publication-status	Published	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. ©2010 IEEE.

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