LMI relaxation to Riccati equations in structured ℋ<inf>2</inf> control

Li, L; Paganini, F

LMI relaxation to Riccati equations in structured ℋ<inf>2</inf> control

Li, L

Paganini, F

Permalink

Publication Type:: Journal Article
Citation:: International Journal of Control, 2007, 80 (4), pp. 527 - 539
Issue Date:: 2007-04-01

Open Access

Copyright Clearance Process

Recently Added
In Progress
Open Access

This item is open access.

Adobe PDF

Download full textAdobe PDF (247.57 kB)

View on publisher's site

View statistics

Full metadata record

Field	Value	Language
dc.contributor.author	Li, L https://orcid.org/0000-0001-8485-2216	en_US
dc.contributor.author	Paganini, F	en_US
dc.date.issued	2007-04-01	en_US
dc.identifier.citation	International Journal of Control, 2007, 80 (4), pp. 527 - 539	en_US
dc.identifier.issn	0020-7179	en_US
dc.identifier.uri	http://hdl.handle.net/10453/14494
dc.description.abstract	In this paper we discuss structured [image omitted] control methods for large-scale interconnected systems. Based on a relaxation of Riccati equations, we derive some linear matrix inequality (LMI) conditions for sub-optimal controllers in which information structure can be imposed. In particular, we derive controllers by solving low-dimensional LMIs, which are decentralized except for the sharing information between neighbours, as determined by the plant interconnection; also we optimize a performance bound for each of the derived controllers.	en_US
dc.relation.ispartof	International Journal of Control	en_US
dc.relation.isbasedon	10.1080/00207170601064456	en_US
dc.subject.classification	Industrial Engineering & Automation	en_US
dc.title	LMI relaxation to Riccati equations in structured ℋ<inf>2</inf> control	en_US
dc.type	Journal Article
utslib.citation.volume	4	en_US
utslib.citation.volume	80	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
utslib.for	0102 Applied Mathematics	en_US
utslib.for	0913 Mechanical 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.issue	4	en_US
pubs.publication-status	Published	en_US
pubs.volume	80	en_US

Abstract:

In this paper we discuss structured [image omitted] control methods for large-scale interconnected systems. Based on a relaxation of Riccati equations, we derive some linear matrix inequality (LMI) conditions for sub-optimal controllers in which information structure can be imposed. In particular, we derive controllers by solving low-dimensional LMIs, which are decentralized except for the sharing information between neighbours, as determined by the plant interconnection; also we optimize a performance bound for each of the derived controllers.

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

http://hdl.handle.net/10453/14494