Gain-scheduled filtering for time-varying discrete systems

DSpace/Manakin Repository

Search OPUS


Advanced Search

Browse

My Account

Show simple item record

dc.contributor.author Hoang, NT
dc.contributor.author Tuan, HD
dc.contributor.author Apkarian, P
dc.contributor.author Hosoe, S
dc.date.accessioned 2012-02-02T10:56:25Z
dc.date.issued 2004-09
dc.identifier.citation IEEE Transactions on Signal Processing, 2004, 52 (9), pp. 2464 - 2476
dc.identifier.issn 1053-587X
dc.identifier.other C1UNSUBMIT en_US
dc.identifier.uri http://hdl.handle.net/10453/15317
dc.description.abstract This paper deals with the design of gain-scheduled filters, whose state-space realization depends on real-time parameters of plants. Similar to well-recognized advantages of gain-scheduled controllers in control theory, gain-scheduled filters are expected to provide enhanced performance in comparison with customary nonadjustable filters. Our construction technique is based on nonlinear fractional transformation (NFT) representations of systems that are a generalization of widely used linear fractional transformation (LFT) representations. Both generalized H2 and H∞ discrete-time filter design problems are investigated together with their extension to mixed designs. This study leads to new linear matrix inequality (LMI) formulations, which in turn provide an effective and reliable design tool. The proposed design technique is finally evaluated in the light of simulation examples. © 2004 IEEE.
dc.language eng
dc.relation.isbasedon 10.1109/TSP.2004.832008
dc.title Gain-scheduled filtering for time-varying discrete systems
dc.type Journal Article
dc.parent IEEE Transactions on Signal Processing
dc.journal.volume 9
dc.journal.volume 52
dc.journal.number 9 en_US
dc.publocation Piscataway en_US
dc.identifier.startpage 2464 en_US
dc.identifier.endpage 2476 en_US
dc.cauo.name FEIT.Faculty of Engineering & Information Technology en_US
dc.conference Verified OK en_US
dc.for 0906 Electrical and Electronic Engineering
dc.personcode 110708
dc.percentage 100 en_US
dc.classification.name Electrical and Electronic Engineering en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom en_US
dc.date.activity en_US
dc.location.activity ISI:000223482300010 en_US
dc.description.keywords linear fractional transformation (LFT); linear matrix inequality (LMI); nonlinear fractional transformation (NFT) en_US
dc.description.keywords linear fractional transformation (LFT)
dc.description.keywords linear matrix inequality (LMI)
dc.description.keywords nonlinear fractional transformation (NFT)
pubs.embargo.period Not known
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/Strength - Health Technologies
utslib.copyright.status Closed Access
utslib.copyright.date 2015-04-15 12:17:09.805752+10
utslib.collection.history Closed (ID: 3)


Files in this item

This item appears in the following Collection(s)

Show simple item record