Coca, D. and Billings, S.A. (2000) Identification of Coupled Map Lattice Models of Complex Spatio-Temporal Patterns. Research Report. ACSE Research Report 782 . Department of Automatic Control and Systems Engineering
Abstract
A new method for the identification of nonlinear Coupled Map Lattice (CML) equations from measured spatio-temporal data is introduced. The application of the algorithm is demonstrated using chaotic two dimensional spatio-temporal patterns generated from interacting populations and the resulting models are validated by computing the attractors and the largest Lyapunov exponents.
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 instance |
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: | 05 Mar 2015 12:12 |
Last Modified: | 26 Oct 2016 14:40 |
Status: | Published |
Publisher: | Department of Automatic Control and Systems Engineering |
Series Name: | ACSE Research Report 782 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:83988 |