ISSN:
1573-269X
Keywords:
Nonlinear identification model validation
Source:
Springer Online Journal Archives 1860-2000
Topics:
Mathematics
Notes:
Abstract The analysis of parameterised nonlinear models is considered. In particular the emphasis is placed on models produced as a result of applying nonlinear system identification techniques. A qualitative approach is taken, calling upon ideas from bifurcation theory. When combined with an existing numerical method this approach enables the analysis of a variety of nonlinear model forms to be carried out. The combination of qualitative and numerical aspects provides a flexible framework for analysis and in addition adds a global perspective that is difficult to achieve using analytical methods alone. When combined with the well tried methods of system identification, the approach allows the validation of nonlinear models from a qualitative viewpoint to be carried out. The method contrasts well with the statistical model validation techniques traditionally used. The technique is applied to a number of examples.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1007/BF00045082
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