Robust dynamical network structure reconstruction

Reference : Robust dynamical network structure reconstruction


	Document type :	Scientific journals : Article
	Discipline(s) :	Engineering, computing & technology : Multidisciplinary, general & others
	To cite this reference:	http://hdl.handle.net/10993/20310

Title :	Robust dynamical network structure reconstruction
Language :	English
Author, co-author :	Yuan, Ye []
	Stan, Guy-Bart []
	Warnick, Stan []
	Goncalves, Jorge [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
Publication date :	Jun-2011
Journal title :	Automatica
Publisher :	Pergamon Press - An Imprint of Elsevier Science
Volume :	47
Issue/season :	6
Peer reviewed :	Yes (verified by ORBi^lu)
ISSN :	0005-1098
City :	Oxford
Country :	United Kingdom
Keywords :	[en] Robust network reconstruction ; Noise and unmodelled dynamics ; Systems biology
Abstract :	[en] This paper addresses the problem of network reconstruction from data. Previous work identified necessary and sufficient conditions for network reconstruction of LTI systems, assuming perfect measurements (no noise) and perfect system identification. This paper assumes that the conditions for network reconstruction have been met but here we additionally take into account noise and unmodelled dynamics (including nonlinearities). In order to identify the network structure that generated the data, we compute the smallest distances between the measured data and the data that would have been generated by particular network structures. We conclude with biologically inspired network reconstruction examples which include noise and nonlinearities.
Permalink :	http://hdl.handle.net/10993/20310

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