Robust Filtering for Discrete Nonlinear Fractional Transformation Systems

Hoang, NT; Tuan, HD; Apkarian, P; Hosoe, S

Robust Filtering for Discrete Nonlinear Fractional Transformation Systems

Hoang, NT Tuan, HD

Apkarian, P Hosoe, S

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Publication Type:: Journal Article
Citation:: IEEE Transactions on Circuits and Systems II: Express Briefs, 2004, 51 (11), pp. 587 - 592
Issue Date:: 2004-01-01

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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	Apkarian, P	en_US
dc.contributor.author	Hosoe, S	en_US
dc.date.issued	2004-01-01	en_US
dc.identifier.citation	IEEE Transactions on Circuits and Systems II: Express Briefs, 2004, 51 (11), pp. 587 - 592	en_US
dc.identifier.issn	1549-7747	en_US
dc.identifier.uri	http://hdl.handle.net/10453/15260
dc.description.abstract	In this brief, we consider robust filtering problems for uncertain discrete-time systems. The uncertain plants under consideration possess nonlinear fractional transformation,(NFT) representations which are a generalization of the classical linear fractional transformation,(LFT) representations. The proposed NFT is more practical than the LFT, and moreover, it leads to substantial performance gains as well as computational savings. For this class of systems, we derive linear-matrix inequality characterizations for H2, H∞and mixed filtering problems. Our approach is finally validated through a number of examples. © 2004, The Institute of Electrical and Electronics Engineers, Inc. All rights reserved.	en_US
dc.relation.ispartof	IEEE Transactions on Circuits and Systems II: Express Briefs	en_US
dc.relation.isbasedon	10.1109/TCSII.2004.837285	en_US
dc.subject.classification	Electrical & Electronic Engineering	en_US
dc.title	Robust Filtering for Discrete Nonlinear Fractional Transformation Systems	en_US
dc.type	Journal Article
utslib.citation.volume	11	en_US
utslib.citation.volume	51	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
dc.location.activity	ISI:000225116000002	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	closed_access
pubs.issue	11	en_US
pubs.publication-status	Published	en_US
pubs.volume	51	en_US

Abstract:

In this brief, we consider robust filtering problems for uncertain discrete-time systems. The uncertain plants under consideration possess nonlinear fractional transformation,(NFT) representations which are a generalization of the classical linear fractional transformation,(LFT) representations. The proposed NFT is more practical than the LFT, and moreover, it leads to substantial performance gains as well as computational savings. For this class of systems, we derive linear-matrix inequality characterizations for H2, H∞and mixed filtering problems. Our approach is finally validated through a number of examples. © 2004, The Institute of Electrical and Electronics Engineers, Inc. All rights reserved.

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http://hdl.handle.net/10453/15260