Model selection approaches for nonlinear system identification: a review

The identification of non-linear systems using only observed finite datasets has become a mature research area over the last two decades. A class of linear-in-the-parameter models with universal approximation capabilities have been intensively studied and widely used due to the availability of many...

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Bibliographic Details
Main Authors: Hong, Xia (Author), Mitchell, R.J (Author), Chen, Sheng (Author), Harris, Chris J. (Author), Li, K. (Author), Irwin, G.W (Author)
Format: Article
Language:English
Published: 2008-10.
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