ℋ2 sub-optimal model reduction for second-order network systems

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

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

Samenvatting

This paper studies a moment matching model reduction method for second-order network systems. For a given complex second-order network system, our goal is to find a reduced second-order network system that achieves moment matching. Firstly, the original second-order network system is split into an asymptotically stable subsystem and an average subsystem. Then, moment matching approach is implemented to reduce the dimension of the asymptotically stable subsystem. The resulting reduced-order model is combined with the average subsystem, leading to a reduced second-order system preserves the semistability. Subsequently, a specific coordinate transform allows for the reduced-order model to be converted to a complete network. A mass-spring-damper network demonstrates the effectiveness of the proposed method.

Originele taal-2Engels
Titel2019 IEEE 58th Conference on Decision and Control, CDC 2019
Plaats van productiePiscataway
UitgeverijInstitute of Electrical and Electronics Engineers
Pagina's5062-5067
Aantal pagina's6
ISBN van elektronische versie978-1-7281-1398-2
DOI's
StatusGepubliceerd - 12 mrt 2020
Evenement58th IEEE Conference on Decision and Control (CDC 2019) - Nice, Frankrijk
Duur: 11 dec 201913 dec 2019
https://cdc2019.ieeecss.org/

Congres

Congres58th IEEE Conference on Decision and Control (CDC 2019)
Verkorte titelCDC 2019
LandFrankrijk
StadNice
Periode11/12/1913/12/19
Internet adres

Vingerafdruk Duik in de onderzoeksthema's van 'ℋ2 sub-optimal model reduction for second-order network systems'. Samen vormen ze een unieke vingerafdruk.

Citeer dit