Abstract :
[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.
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