Article (Scientific journals)
Frequency-domain subspace identification for nonlinear mechanical systems
Noël, Jean-Philippe; Kerschen, Gaëtan
2013In Mechanical Systems and Signal Processing, 40, p. 701-717
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Keywords :
Nonlinear system identification; Subspace method; Frequency domain; Characterisation criterion; Numerical and experimental data
Abstract :
[en] This paper introduces a new frequency-domain subspace-based method for the identification of nonlinear mechanical systems. The technique exploits frequency-domain data and interprets nonlinearities as feedback forces exciting the underlying linear system. It is first demonstrated using two academic examples, namely a Duffing oscillator and a five-degree-of-freedom system comprising two nonlinearities. The identification of an experimental beam exhibiting geometrically nonlinear behaviour is then addressed.
Disciplines :
Aerospace & aeronautics engineering
Author, co-author :
Noël, Jean-Philippe ;  Université de Liège - ULiège > Département d'aérospatiale et mécanique > Laboratoire de structures et systèmes spatiaux
Kerschen, Gaëtan  ;  Université de Liège - ULiège > Département d'aérospatiale et mécanique > Laboratoire de structures et systèmes spatiaux
Language :
English
Title :
Frequency-domain subspace identification for nonlinear mechanical systems
Publication date :
November 2013
Journal title :
Mechanical Systems and Signal Processing
ISSN :
0888-3270
eISSN :
1096-1216
Publisher :
Academic Press, London, United Kingdom
Volume :
40
Pages :
701-717
Peer reviewed :
Peer Reviewed verified by ORBi
Funders :
FRIA - Fonds pour la Formation à la Recherche dans l'Industrie et dans l'Agriculture [BE]
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since 29 July 2013

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