Guo, Y., Billings, S.A. and Coca, D. (2007) Identification of N-state spatio-temporal dynamical systems using a polynomial model. Research Report. ACSE Research Report no. 960 . Automatic Control and Systems Engineering, University of Sheffield
Abstract
A multivariable polynomial model is introduced to describe n-state spatio-temporal systems. Based on this model, a new neighbourhood detection and transition rules determination method is proposed. Simulation results illustrate that the new method performs well even when the patterns are corrupted by static and dynamical noise.
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; spatio-temporal system; polynomial model. |
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: | Miss Anthea Tucker |
Date Deposited: | 12 Oct 2012 12:44 |
Last Modified: | 07 Jun 2014 21:52 |
Status: | Published |
Publisher: | Automatic Control and Systems Engineering, University of Sheffield |
Series Name: | ACSE Research Report no. 960 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:74617 |