A rank constrained LMI algorithm for decentralized state feedback guaranteed cost control of uncertain systems with uncertainty described by integral quadratic constraints

Li, L; Petersen, IR

A rank constrained LMI algorithm for decentralized state feedback guaranteed cost control of uncertain systems with uncertainty described by integral quadratic constraints

Li, L

Petersen, IR

Permalink

Publication Type:: Conference Proceeding
Citation:: Proceedings of the American Control Conference, 2007, pp. 796 - 801
Issue Date:: 2007-12-01

Open Access

Copyright Clearance Process

Recently Added
In Progress
Open Access

This item is open access.

Adobe PDF

Download full textAdobe PDF (188.52 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	Petersen, IR	en_US
dc.date.issued	2007-12-01	en_US
dc.identifier.citation	Proceedings of the American Control Conference, 2007, pp. 796 - 801	en_US
dc.identifier.isbn	1424409888	en_US
dc.identifier.isbn	9781424409884	en_US
dc.identifier.issn	0743-1619	en_US
dc.identifier.uri	http://hdl.handle.net/10453/17626
dc.description.abstract	The paper presents a numerical algorithm for constructing a decentralized state feedback guaranteed cost controller for an uncertain system. The uncertain systems under consideration contain structured uncertainty described by integral quadratic constraints. The decentralized controller is designed to achieve a closed loop system which is absolutely stable and such that a cost function satisfies a given bound for all admissible uncertainties. The main result gives an algorithm for constructing the desired controller in terms of LMIs subject to rank constraints. © 2007 IEEE.	en_US
dc.relation.ispartof	Proceedings of the American Control Conference	en_US
dc.relation.isbasedon	10.1109/ACC.2007.4282183	en_US
dc.title	A rank constrained LMI algorithm for decentralized state feedback guaranteed cost control of uncertain systems with uncertainty described by integral quadratic constraints	en_US
dc.type	Conference Proceeding
utslib.for	0913 Mechanical Engineering	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
dc.location.activity	New York, USA	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:

The paper presents a numerical algorithm for constructing a decentralized state feedback guaranteed cost controller for an uncertain system. The uncertain systems under consideration contain structured uncertainty described by integral quadratic constraints. The decentralized controller is designed to achieve a closed loop system which is absolutely stable and such that a cost function satisfies a given bound for all admissible uncertainties. The main result gives an algorithm for constructing the desired controller in terms of LMIs subject to rank constraints. © 2007 IEEE.

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

http://hdl.handle.net/10453/17626