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Identification of nonlinear systems using the Wiener model

Identification of nonlinear systems using the Wiener model

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An algorithm for the identification of nonlinear systems which can be described by a Wiener model consisting of a linear system followed by a single-valued nonlinearity is presented. Crossconolation techniques are employed to decouple the identification of the linear dynamics from the characterisation of the nonlinear element.

References

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      • Schetzen, M.: `Average of the product of Gaussian variables', 60, Quarterly Progress Report, 1960, p. 137–141.
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