Model Reduction for Linear Parameter-Dependent Systems

Li, L

Model Reduction for Linear Parameter-Dependent Systems

Li, L

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Publisher:: IFAC
Publication Type:: Conference Proceeding
Citation:: Proceedings of the 17th IFAC World Congress, 2008, 2008, 17 pp. 4048 - 4053
Issue Date:: 2008-01

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Field	Value	Language
dc.contributor.author	Li, L https://orcid.org/0000-0001-8485-2216	en_US
dc.contributor.editor	Chung	en_US
dc.contributor.editor	Jin, M	en_US
dc.contributor.editor	Misra	en_US
dc.contributor.editor	Pradeep	en_US
dc.date	2008-07-06	en_US
dc.date.issued	2008-01	en_US
dc.identifier.citation	Proceedings of the 17th IFAC World Congress, 2008, 2008, 17 pp. 4048 - 4053	en_US
dc.identifier.isbn	978-3-902661-00-5	en_US
dc.identifier.uri	http://hdl.handle.net/10453/16159
dc.description.abstract	The paper considers the problem of model reduction for a class of linear parameter-dependent (LPD) systems. Three model reduction approaches: balanced truncation, balanced LQG truncation and gain-scheduled $mathcal{H}_infty$ model reduction, are presented to reduce the dimension of LPD systems. For the former two approaches, conditions to proceed the reduction are given in terms of a finite number of linear matrix inequalities (LMIs); while the latter one involves LMIs with some additional rank constraint.	en_US
dc.publisher	IFAC	en_US
dc.relation.ispartof	Proceedings of the 17th IFAC World Congress, 2008	en_US
dc.relation.ispartof	IFAC World Congress	en_US
dc.relation.isbasedon	10.3182/20080706-5-KR-1001.00681	en_US
dc.title	Model Reduction for Linear Parameter-Dependent Systems	en_US
dc.type	Conference Proceeding
utslib.citation.volume	17	en_US
utslib.location	South Korea	en_US
utslib.location.activity	South Korea	en_US
utslib.for	0802 Computation Theory and Mathematics	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
dc.location.activity	South Korea	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.consider-herdc	false	en_US
pubs.place-of-publication	South Korea	en_US
pubs.start-date	2008-07-06	en_US
pubs.volume	17	en_US

Abstract:

The paper considers the problem of model reduction for a class of linear parameter-dependent (LPD) systems. Three model reduction approaches: balanced truncation, balanced LQG truncation and gain-scheduled $mathcal{H}_infty$ model reduction, are presented to reduce the dimension of LPD systems. For the former two approaches, conditions to proceed the reduction are given in terms of a finite number of linear matrix inequalities (LMIs); while the latter one involves LMIs with some additional rank constraint.

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http://hdl.handle.net/10453/16159