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Conference Paper: Fast nonlinear model order reduction via associated transforms of high-order volterra transfer functions

TitleFast nonlinear model order reduction via associated transforms of high-order volterra transfer functions
Authors
KeywordsAssociation of variables
Model order reduction (MOR)
Nonlinear system
Analog/RF circuits
Issue Date2012
PublisherIEEE Computer Society.
Citation
The 49th ACM/EDAC/IEEE Design Automation Conference (DAC 2012), San Francisco, CA., 3-7 June 2012. In ACM/IEEE Design Automation Conference Proceedings, 2012, p. 289-294 How to Cite?
Abstract
We present a new and fast way of computing the projection matrices serving high-order Volterra transfer functions in the context of (weakly and strongly) nonlinear model order reduction. The novelty is to perform, for the first time, the association of multivariate (Laplace) variables in high-order multiple-input multiple-output (MIMO) transfer functions to generate the standard single-s transfer functions. The consequence is obvious: instead of finding projection subspaces about every s i, only that about a single s is required. This translates into drastic saving in computation and memory, and much more compact reduced-order nonlinear models, without compromising any accuracy. © 2012 ACM.
Persistent Identifierhttp://hdl.handle.net/10722/165276
ISBN
ISSN

 

Author Affiliations
  1. The University of Hong Kong
DC FieldValueLanguage
dc.contributor.authorZhang, Yen_US
dc.contributor.authorLiu, Hen_US
dc.contributor.authorWang, Qen_US
dc.contributor.authorFong, Nen_US
dc.contributor.authorWong, Nen_US
dc.date.accessioned2012-09-20T08:16:37Z-
dc.date.available2012-09-20T08:16:37Z-
dc.date.issued2012en_US
dc.identifier.citationThe 49th ACM/EDAC/IEEE Design Automation Conference (DAC 2012), San Francisco, CA., 3-7 June 2012. In ACM/IEEE Design Automation Conference Proceedings, 2012, p. 289-294en_US
dc.identifier.isbn9781450311991-
dc.identifier.issn0738-100X-
dc.identifier.urihttp://hdl.handle.net/10722/165276-
dc.description.abstractWe present a new and fast way of computing the projection matrices serving high-order Volterra transfer functions in the context of (weakly and strongly) nonlinear model order reduction. The novelty is to perform, for the first time, the association of multivariate (Laplace) variables in high-order multiple-input multiple-output (MIMO) transfer functions to generate the standard single-s transfer functions. The consequence is obvious: instead of finding projection subspaces about every s i, only that about a single s is required. This translates into drastic saving in computation and memory, and much more compact reduced-order nonlinear models, without compromising any accuracy. © 2012 ACM.-
dc.languageengen_US
dc.publisherIEEE Computer Society.-
dc.relation.ispartofACM/IEEE Design Automation Conference Proceedingsen_US
dc.rightsACM/IEEE Design Automation Conference Proceedings. Copyright © IEEE Computer Society.-
dc.rights©2012 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectAssociation of variables-
dc.subjectModel order reduction (MOR)-
dc.subjectNonlinear system-
dc.subjectAnalog/RF circuits-
dc.titleFast nonlinear model order reduction via associated transforms of high-order volterra transfer functionsen_US
dc.typeConference_Paperen_US
dc.identifier.emailZhang, Y: yzhang@eee.hku.hken_US
dc.identifier.emailLiu, H: liuht@hku.hken_US
dc.identifier.emailWang, Q: wangqing@hku.hk-
dc.identifier.emailFong, N: nfong@eee.hku.hk-
dc.identifier.emailWong, N: nwong@eee.hku.hk-
dc.identifier.authorityWong, N=rp00190en_US
dc.description.naturepublished_or_final_version-
dc.identifier.scopuseid_2-s2.0-84863551409-
dc.identifier.hkuros209149en_US
dc.identifier.spage289en_US
dc.identifier.epage294en_US
dc.publisher.placeUnited States-
dc.customcontrol.immutablesml 130510-

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