Identification of nonlinear additive FIR systems

Authors:
Er-Wei Bai
Affiliations:
Department of Electrical and Computer Engineering, University of Iowa, Iowa City, Iowa 52242, USA
Venue:
Automatica (Journal of IFAC)
Year:
2005

Citing 2
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Brief paper: Identification of an additive nonlinear system and its applications in generalized Hammerstein models

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Representation and identification of non-parametric nonlinear systems of short term memory and low degree of interaction

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Abstract

In this paper, we consider identification of a nonlinear additive system. An input signal is designed in such a way that the problem of identification of nonlinear additive systems is reduced to a problem of identification of static nonlinear functions. Then, three approaches are established to estimate the order of the system. The methods exploit the structure of the nonlinear additive model so that their implementations are easy.