State-Space Network Topology Identification From Partial Observations

In this article, we explore the state-space formulation of a network process to recover from partial observations the network topology that drives its dynamics. To do so, we employ subspace techniques borrowed from system identification literature and extend them to the network topology identificati...

Full description

Saved in:

Bibliographic Details
Published in:	IEEE transactions on signal and information processing over networks Vol. 6; pp. 211 - 225
Main Authors:	Coutino, Mario, Isufi, Elvin, Maehara, Takanori, Leus, Geert
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Continuous time systems Evolution (biology) graph signal processing Information processing Inverse eigenvalue problems Mathematical analysis Measurement Modeling Network control Network topologies Network topology network topology identification Signal processing signal processing over networks state-space models System dynamics System identification Topology
ISSN:	2373-776X, 2373-7778
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!