Li, L.M. and Billings, S.A. (1998) Continuous Time Linear and Nonlinear System Identification in the Frequency Domain. Research Report. ACSE Research Report 711 . Department of Automatic Control and Systems Engineering
Abstract
A new algorithm for identifying linear and nonlinear differential equation models is introduced. The algorithm avoids the computation of derivatives by using the generalised frequency response functions to reconstruct the model. It is shown that the model can be constructed sequentially by building in first the linear terms, then the quadratic terms and so on in a manner that determines the significant model terms at each step and provides unbiased estimates in the presence of noise. Simulated examples and the identification of a model relating the action of waveforces to an offshore structure are included to demonstrate the procedure.
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. |
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: | 21 Nov 2014 12:13 |
Last Modified: | 26 Oct 2016 05:27 |
Status: | Published |
Publisher: | Department of Automatic Control and Systems Engineering |
Series Name: | ACSE Research Report 711 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:81846 |