Reduced order modeling of linear consensus networks using weight assignments

Xiaodong Cheng, Lanlin Yu, Jacquelien M.A. Scherpen

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

2 Citaten (Scopus)
1 Downloads (Pure)

Samenvatting

This paper studies a model reduction method for linear consensus networks consisting of diffusively coupled single-integrators. For a given graph clustering of an original complex network, we construct a simplified network consisting of fewer nodes, where the edge weights are to be determined. An optimal weight assignment procedure is proposed to select suitable edge weights of the reduced network, aiming for the minimum mathcal{H}{2} approximation error between the original network and the reduced-order network model. The effectiveness of the proposed method is illustrated by means of an example.

Originele taal-2Engels
Titel2019 18th European Control Conference, ECC 2019
Plaats van productiePiscataway
UitgeverijInstitute of Electrical and Electronics Engineers
Pagina's2005-2010
Aantal pagina's6
ISBN van elektronische versie978-3-907144-00-8
DOI's
StatusGepubliceerd - 1 jun 2019
Evenement17th European Control Conference (ECC 2019) - Naples, Italië
Duur: 25 jun 201928 jun 2019
Congresnummer: 17
https://www.ifac-control.org/events/european-control-conference-in-cooperation-with-ifac-ecc-2019

Congres

Congres17th European Control Conference (ECC 2019)
Verkorte titelECC 2019
Land/RegioItalië
StadNaples
Periode25/06/1928/06/19
Internet adres

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