Billings, S.A. and Li, L.M. (1999) Reconstruction of Linear and Non-Linear Continuous Time System Models Using the Kernel Invariance Algorithm. Research Report. ACSE Research Report 743 . Department of Automatic Control and Systems Engineering
Abstract
A new Kernel Invariance Algorithm (KIA) is introduced to determine both the significant model terms and estimate the unknown parameters in non-linear continuous time differential equation models of unknown systems.
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: | 27 Feb 2015 12:18 |
Last Modified: | 27 Oct 2016 05:38 |
Status: | Published |
Publisher: | Department of Automatic Control and Systems Engineering |
Series Name: | ACSE Research Report 743 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:83852 |