White Rose University Consortium logo
University of Leeds logo University of Sheffield logo York University logo

Identification of N-state spatio-temporal dynamical systems using a polynomial model

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

Full text available as:
[img]
Preview
Text
960.pdf

Download (153Kb)

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.

Item Type: Monograph (Research Report)
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.
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: 08 Feb 2013 17:40
Status: Published
Publisher: Automatic Control and Systems Engineering, University of Sheffield
URI: http://eprints.whiterose.ac.uk/id/eprint/74617

Actions (login required)

View Item View Item