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Conference Paper: PEDS: Passivity enforcement for descriptor systems via Hamiltonian- symplectic matrix pencil perturbation

TitlePEDS: Passivity enforcement for descriptor systems via Hamiltonian- symplectic matrix pencil perturbation
Authors
KeywordsEngineering
Computer applications
Issue Date2010
PublisherIEEE Computer Society. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000151
Citation
The IEEE/ACM International Conference on Computer-Aided Design (ICCAD 2010), San Jose, CA., 7-11 November 2010. In Proceedings of ICCAD, 2010, p. 800-807 How to Cite?
AbstractPassivity is a crucial property of macromodels to guarantee stable global (interconnected) simulation. However, weakly nonpassive models may be generated for passive circuits and systems in various contexts, such as data fitting, model order reduction (MOR) and electromagnetic (EM) macromodeling. Therefore, a post-processing passivity enforcement algorithm is desired. Most existing algorithms are designed to handle poleresidue models. The few algorithms for state space models only handle regular systems (RSs) with a nonsingular D+D T term. To the authors' best knowledge, no algorithm has been proposed to enforce passivity for more general descriptor systems (DSs) and state space models with singular D + D T terms. In this paper, a new post-processing passivity enforcement algorithm based on perturbation of Hamiltonian-symplectic matrix pencil, PEDS, is proposed. PEDS, for the first time, can enforce passivity for DSs. It can also handle all kinds of state space models (both RSs and DSs) with singular D + D T terms. Moreover, a criterion to control the error of perturbation is devised, with which the optimal passive models with the best accuracy can be obtained. Numerical examples then verify that PEDS is efficient, robust and relatively cheap for passivity enforcement of DSs with mild passivity violations. ©2010 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/129672
ISSN
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorWang, Yen_HK
dc.contributor.authorZhang, Zen_HK
dc.contributor.authorKoh, CKen_HK
dc.contributor.authorPang, GKHen_HK
dc.contributor.authorWong, Nen_HK
dc.date.accessioned2010-12-23T08:40:54Z-
dc.date.available2010-12-23T08:40:54Z-
dc.date.issued2010en_HK
dc.identifier.citationThe IEEE/ACM International Conference on Computer-Aided Design (ICCAD 2010), San Jose, CA., 7-11 November 2010. In Proceedings of ICCAD, 2010, p. 800-807en_HK
dc.identifier.issn1092-3152en_HK
dc.identifier.urihttp://hdl.handle.net/10722/129672-
dc.description.abstractPassivity is a crucial property of macromodels to guarantee stable global (interconnected) simulation. However, weakly nonpassive models may be generated for passive circuits and systems in various contexts, such as data fitting, model order reduction (MOR) and electromagnetic (EM) macromodeling. Therefore, a post-processing passivity enforcement algorithm is desired. Most existing algorithms are designed to handle poleresidue models. The few algorithms for state space models only handle regular systems (RSs) with a nonsingular D+D T term. To the authors' best knowledge, no algorithm has been proposed to enforce passivity for more general descriptor systems (DSs) and state space models with singular D + D T terms. In this paper, a new post-processing passivity enforcement algorithm based on perturbation of Hamiltonian-symplectic matrix pencil, PEDS, is proposed. PEDS, for the first time, can enforce passivity for DSs. It can also handle all kinds of state space models (both RSs and DSs) with singular D + D T terms. Moreover, a criterion to control the error of perturbation is devised, with which the optimal passive models with the best accuracy can be obtained. Numerical examples then verify that PEDS is efficient, robust and relatively cheap for passivity enforcement of DSs with mild passivity violations. ©2010 IEEE.en_HK
dc.languageengen_US
dc.publisherIEEE Computer Society. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000151-
dc.relation.ispartofProceedings of the ICCAD - IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2010en_HK
dc.rightsICCAD - IEEE / ACM International Conference on Computer-Aided Design. Proceedings. Copyright © IEEE Computer Society.-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rights©2010 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.subjectEngineering-
dc.subjectComputer applications-
dc.titlePEDS: Passivity enforcement for descriptor systems via Hamiltonian- symplectic matrix pencil perturbationen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1933-7760&volume=&spage=800&epage=807&date=2010&atitle=PEDS:+Passivity+enforcement+for+descriptor+systems+via+Hamiltonian-+symplectic+matrix+pencil+perturbation-
dc.identifier.emailPang, GKH:gpang@eee.hku.hken_HK
dc.identifier.emailWong, N:nwong@eee.hku.hken_HK
dc.identifier.authorityPang, GKH=rp00162en_HK
dc.identifier.authorityWong, N=rp00190en_HK
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/ICCAD.2010.5653885en_HK
dc.identifier.scopuseid_2-s2.0-78650922488en_HK
dc.identifier.hkuros176501en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-78650922488&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.spage800en_HK
dc.identifier.epage807en_HK
dc.identifier.isiWOS:000287997600130-
dc.description.otherThe IEEE/ACM International Conference on Computer-Aided Design (ICCAD 2010), San Jose, CA., 7-11 November 2010. In Proceedings of ICCAD, 2010, p. 800-807-
dc.identifier.scopusauthoridWang, Y=36455320300en_HK
dc.identifier.scopusauthoridZhang, Z=35390468200en_HK
dc.identifier.scopusauthoridKoh, CK=7201749804en_HK
dc.identifier.scopusauthoridPang, GKH=7103393283en_HK
dc.identifier.scopusauthoridWong, N=35235551600en_HK

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