A Comparison of Polynomial and Rational NARMAX Models for Nonlinear System Identification

A Comparison of Polynomial and Rational NARMAX Models for Nonlinear System Identification

Polynomial and rational expansions of nonlinear stochastic dynamic models are compared. The structure, approximation properties and stability are discussed and a unified identification algorithm is introduced.

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Bibliographische Detailangaben
Hauptverfasser: Zhu, Q.M, Billings, S.A
Format: Buch
Sprache:eng
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Zusammenfassung:Polynomial and rational expansions of nonlinear stochastic dynamic models are compared. The structure, approximation properties and stability are discussed and a unified identification algorithm is introduced.