Billings, S.A. and Swain, A.K. (1996) Reconstruction of MIMO Nonlinear Differential Equation Models From the Generalised Frequency Response Function Matrix. Research Report. ACSE Research Report 649 . Department of Automatic Control and Systems Engineering
Abstract
A new algorithm is introduced to identify differential equation models for linear and nonlinear MIMO systems from frequency response data using a weighted complex orthogonal estimator. The estimation procedure is progressive beginning with the estimation of the linear terms and the sequentially adding higher order nonlinear terms to build up the model. Simulated examples are included to demonstrate the performance of the new algorithm.
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: | 06 Oct 2014 10:29 |
Last Modified: | 25 Oct 2016 03:03 |
Status: | Published |
Publisher: | Department of Automatic Control and Systems Engineering |
Series Name: | ACSE Research Report 649 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:80848 |