Mean Levels in Nonlinear Analysis and Identification
Peyton-Jones, J.C. and Billings, S.A.
(1992)
Mean Levels in Nonlinear Analysis and Identification.
Research Report.
ACSE Research Report 454
.
Department of Automatic Control and Systems Engineering
Abstract
The effects of data pretreatment an mean levels upon nonlinear model structures is investigated. Techniques which are commonly used to prefilter data in linear system identification are shown to alter the model structure in the nonlinear case. The effects of mean levels are considered in detail and a new unravelling algorithm is derived to recover the underlying system model when the offsets are external to the system. A new mapping from the time domain is also introduced for the case where offsets can be considered as an implicit part of the system.
Metadata
Item Type:
Monograph
Authors/Creators:
Peyton-Jones, J.C.
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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