l<sup>∞</sup>-Bounded Robustness for Nonlinear Systems: Analysis and Synthesis

Huang, S; James, MR

l<sup>∞</sup>-Bounded Robustness for Nonlinear Systems: Analysis and Synthesis

Huang, S

James, MR

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Publication Type:: Journal Article
Citation:: IEEE Transactions on Automatic Control, 2003, 48 (11), pp. 1875 - 1891
Issue Date:: 2003-11-01

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Field	Value	Language
dc.contributor.author	Huang, S https://orcid.org/0000-0002-6124-4178	en_US
dc.contributor.author	James, MR	en_US
dc.date.issued	2003-11-01	en_US
dc.identifier.citation	IEEE Transactions on Automatic Control, 2003, 48 (11), pp. 1875 - 1891	en_US
dc.identifier.issn	0018-9286	en_US
dc.identifier.uri	http://hdl.handle.net/10453/9224
dc.description.abstract	The purpose of this paper is to describe systematic analysis and design tools for robust control problems with l∞ criteria. We first generalize the Hill-Moylan-Willems framework for dissipative systems to accommodate l∞ criteria, and then derive state feedback and measurement feedback synthesis procedures for l∞ robust control problems. The information state framework is used for the measurement feedback robust control problem. Necessary and sufficient conditions are proved, and new synthesis procedures using dynamic programming are presented.	en_US
dc.relation.ispartof	IEEE Transactions on Automatic Control	en_US
dc.relation.isbasedon	10.1109/TAC.2003.819072	en_US
dc.subject.classification	Industrial Engineering & Automation	en_US
dc.title	l<sup>∞</sup>-Bounded Robustness for Nonlinear Systems: Analysis and Synthesis	en_US
dc.type	Journal Article
utslib.citation.volume	11	en_US
utslib.citation.volume	48	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 Mechanical and Mechatronic Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CAS - Centre for Autonomous Systems
utslib.copyright.status	open_access
pubs.issue	11	en_US
pubs.publication-status	Published	en_US
pubs.volume	48	en_US

Abstract:

The purpose of this paper is to describe systematic analysis and design tools for robust control problems with l∞ criteria. We first generalize the Hill-Moylan-Willems framework for dissipative systems to accommodate l∞ criteria, and then derive state feedback and measurement feedback synthesis procedures for l∞ robust control problems. The information state framework is used for the measurement feedback robust control problem. Necessary and sufficient conditions are proved, and new synthesis procedures using dynamic programming are presented.

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http://hdl.handle.net/10453/9224