Network topology detection via uncertainty analysis of an identified static model 2021 (English)In: IFAC PAPERSONLINE, Elsevier BV , 2021, Vol. 54, no 7, p. 595-600Conference paper, Published paper (Refereed)

Abstract [en]

In this paper, we propose a methodology to detect the topology of a dynamic network that is based on the analysis of the uncertainty of the static characteristic of the matrix of transfer functions between the external excitations and the node signals.

Place, publisher, year, edition, pages

Elsevier BV , 2021. Vol. 54, no 7, p. 595-600

Keywords [en]

Dynamic network identification, topology detection

National Category

Control Engineering

Identifiers

URN: urn:nbn:se:kth:diva-303770DOI: 10.1016/j.ifacol.2021.08.425ISI: 000696396200098OAI: oai:DiVA.org:kth-303770DiVA, id: diva2:1605964

Conference

19th IFAC Symposium on System Identification (SYSID), JUL 13-16, 2021, Padova, ITALY

Note

QC 20211026

Available from: 2021-10-26 Created: 2021-10-26 Last updated: 2022-06-25Bibliographically approved

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Hjalmarsson, Håkan

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Hjalmarsson, Håkan

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Decision and Control Systems (Automatic Control)

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