alexa Identification of nonlinear systems - a survey


Advances in Automobile Engineering

Author(s): SA Billings

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A survey of nonlinear system identification algorithms and related topics is presented by extracting significant results from the literature and presenting these in an organised and systematic way. Algorithms based on the functional expansions of Wiener and Volterra, the identification of block-oriented and bilinear systems, the selection of input signals, structure detection, parameter estimation and recent results from catastrophe theory and included. The limitations, relationships and applicability of the methods are discussed throughout.

This article was published in IEEE xplre and referenced in Advances in Automobile Engineering

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