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Stochastic suitability measures for nonlinear structure identification

Author(s):

R. Pearson, F. Allgöwer, P.H. Menold
Conference/Journal:

European Control Conference (ECC), Brussels, Belgium, Paper FR-A F4, CD-ROM file ECC366.pdf, 6 pages
Abstract:

In this paper stochastic suitability measures are introduced as a means of quantifying the ability of a particular nonlinear model class to capture the control relevant I/O-behavior of a nonlinear system to be identified. These suitability measures can be used in the structure identification step that usually precedes the actual parameter identification. Properties of these measures are discussed and compared to their deterministic counterpart and the qualitative dependence on model classes and classes of input sequences is made explicit with two examples.

Year:

1997
Type of Publication:

(01)Article
Supervisor:



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% Autogenerated BibTeX entry
@InProceedings { PeaAll:1997:IFA_1280,
    author={R. Pearson and F. Allg{\"o}wer and P.H. Menold},
    title={{Stochastic suitability measures for nonlinear structure
	  identification}},
    booktitle={European Control Conference (ECC)},
    pages={},
    year={1997},
    address={Brussels, Belgium},
    url={http://control.ee.ethz.ch/index.cgi?page=publications;action=details;id=1280}
}
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