Billings, S.A. (1985) An Overview of Nonlinear Systems Identification. Research Report. Acse Report 271 . Dept of Automatic Control and System Engineering. University of Sheffield
Abstract
There are basically three distinct approaches to the identification of nonlinear systems and these are based on functional series expansions, block oriented systems and nonlinear differential or difference equation models. The present study is an attempt to provide a brief introduction and overview of some of the better known algorithms for each of these system descriptions.
Metadata
Item Type: | Monograph |
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Authors/Creators: |
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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. |
Keywords: | Identification, Nonlinear Systems, Prediction, Signal Processing. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) > ACSE Research Reports |
Depositing User: | MRS ALISON THERESA BARNETT |
Date Deposited: | 04 Nov 2013 10:11 |
Last Modified: | 26 Oct 2016 11:45 |
Status: | Published |
Publisher: | Dept of Automatic Control and System Engineering. University of Sheffield |
Series Name: | Acse Report 271 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:76930 |