Reference : Nonlinearity Characterization for Nonlinear Dynamic System Identification Using an Ex...
Scientific congresses and symposiums : Paper published in a book
Engineering, computing & technology : Aerospace & aeronautics engineering
Engineering, computing & technology : Mechanical engineering
http://hdl.handle.net/2268/24634
Nonlinearity Characterization for Nonlinear Dynamic System Identification Using an Expert Approach
English
Dimitriadis, Grigorios mailto [Université de Liège - ULiège > Département d'aérospatiale et mécanique > Interactions Fluide-Structure - Aérodynamique expérimentale >]
Vio, Gareth Arthur [University of Manchester > School of Mechanical Aerospace and Civil Engineering > > >]
Sep-2006
Proceedings of the 2006 International Conference on Noise and Vibration Engineering
KTH
2705-2721
No
No
International
90-73802-83-0
Heverlee
Belgium
2006 International Conference on Noise and Vibration Engineering
du 18 septembre au 20 septembre 2006
Katholieke Universiteit Leuven
Leuven
Belgium
[en] non-linear system identification ; nonlinearity detection ; cubic stiffness ; piece-wise linear functions ; friction ; hysteresis ; quadratic damping
[en] The identification of nonlinear dynamic systems can be rendered significantly more parsimonious if the
nonlinearity present in the system is known. While there are many successful non-parametric nonlinear
system identification methods, the resulting models do not describe the nonlinearity in physical terms and
are difficult to obtain due to the large number of candidate terms that must be examined. In this paper
an expert approach towards the characterization of nonlinearities in a dynamic system is presented. The
methodology is based on simulations of dynamic systems with a variety of commonly occurring nonlinear
functions. The responses of such systems to various types of excitation are analysed and rules are developed
as to what nonlinearity is likely to be present in a system given the dynamic characteristics of measured
responses.
Researchers ; Professionals
http://hdl.handle.net/2268/24634

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