A New Fast Cellular Automata Orthogonal Least Sqaures Identification Method
Billings, S.A. and Mei, S.S.
(2003)
A New Fast Cellular Automata Orthogonal Least Sqaures Identification Method.
Research Report.
ACSE Research Report 838
.
Department of Automatic Control and Systems Engineering
Abstract
A novel fast cellular automata orthogonal least squares (FCA-OLS) identification method is introduced by extending and developing the CA-OLS identification method presented in [2]. As a simulation example, cellular automata rule 110 is analysed and identified. The simulation results show that the new method significantly reduces the computational time compared to existing methods.
Metadata
Item Type:
Monograph
Authors/Creators:
Billings, S.A.
Mei, S.S.
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:
Cellular Automata; Identification; Polynomial, Orthogonal least squares.
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