A Comparison of Polynomial and Rational NARMAX Models for Nonlinear System Identification
Zhu, Q.M. and Billings, S.A.
(1992)
A Comparison of Polynomial and Rational NARMAX Models for Nonlinear System Identification.
Research Report.
ACSE Research Report 444
.
Department of Automatic Systems Control and Engineering
Abstract
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.
Metadata
Item Type:
Monograph
Authors/Creators:
Zhu, Q.M.
Billings, S.A.
Copyright, Publisher and Additional Information:
The Department of Automatic Control and Systems Engineering research reports offer a forum for the research output of the academic staff and research students of the Department at the University of Sheffield. Papers are reviewed for quality and presentation by a departmental editor. However, the contents and opinions expressed remain the responsibility of the authors. Some papers in the series may have been subsequently published elsewhere and you are advised to cite the later published version in these instances.
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