Robust mixed generalized H<inf>2</inf>/H<inf>∞</inf> filtering of 2-D nonlinear fractional transformation systems

Hoang, NT; Tuan, HD; Nguyen, TQ; Hosoe, S

Robust mixed generalized H<inf>2</inf>/H<inf>∞</inf> filtering of 2-D nonlinear fractional transformation systems

Hoang, NT Tuan, HD

Nguyen, TQ Hosoe, S

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Publication Type:: Journal Article
Citation:: IEEE Transactions on Signal Processing, 2005, 53 (12), pp. 4697 - 4706
Issue Date:: 2005-12-01

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Field	Value	Language
dc.contributor.author	Hoang, NT	en_US
dc.contributor.author	Tuan, HD https://orcid.org/0000-0003-0292-6061	en_US
dc.contributor.author	Nguyen, TQ	en_US
dc.contributor.author	Hosoe, S	en_US
dc.date.issued	2005-12-01	en_US
dc.identifier.citation	IEEE Transactions on Signal Processing, 2005, 53 (12), pp. 4697 - 4706	en_US
dc.identifier.issn	1053-587X	en_US
dc.identifier.uri	http://hdl.handle.net/10453/15353
dc.description.abstract	This study considers robust filtering problems for uncertain two dimensional (2-D) discrete systems in nonlinear fractional transformation (NFT) representations. Like one-dimensional (1-D) systems, the NFT in this paper serves to complement the linear fractional transformation (LFT). Linear matrix inequality (LMI) formulations are given to analyze as well as synthesize robust filters. Numerical examples show the advantage of the NFT over the LFT in terms of not only computational savings but also substantial performance gains and verify the efficiency of the proposed techniques. © 2005 IEEE.	en_US
dc.relation.ispartof	IEEE Transactions on Signal Processing	en_US
dc.relation.isbasedon	10.1109/TSP.2005.859259	en_US
dc.subject.classification	Networking & Telecommunications	en_US
dc.title	Robust mixed generalized H<inf>2</inf>/H<inf>∞</inf> filtering of 2-D nonlinear fractional transformation systems	en_US
dc.type	Journal Article
utslib.citation.volume	12	en_US
utslib.citation.volume	53	en_US
utslib.for	0903 Biomedical Engineering	en_US
dc.location.activity	ISI:000233681400026	en_US
dc.location.activity	Sydney
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	closed_access
pubs.issue	12	en_US
pubs.publication-status	Published	en_US
pubs.volume	53	en_US

Abstract:

This study considers robust filtering problems for uncertain two dimensional (2-D) discrete systems in nonlinear fractional transformation (NFT) representations. Like one-dimensional (1-D) systems, the NFT in this paper serves to complement the linear fractional transformation (LFT). Linear matrix inequality (LMI) formulations are given to analyze as well as synthesize robust filters. Numerical examples show the advantage of the NFT over the LFT in terms of not only computational savings but also substantial performance gains and verify the efficiency of the proposed techniques. © 2005 IEEE.

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http://hdl.handle.net/10453/15353