Continuous-Time System Identification for Linear and Nonlinear Systems using Wavelet Decompositions
Coca, D. and Billings, S.A.
(1996)
Continuous-Time System Identification for Linear and Nonlinear Systems using Wavelet Decompositions.
Research Report.
ACSE Research Report 611
.
Department of Automatic Control and Systems Engineering
Abstract
A new approach for estimating linear and nonlinear continuous-time models directly from noisy observations is introduced using wavelet decompositions. Results using both simulated and experimental data are included to demonstrate rte performance of the new algorithm.
Metadata
Item Type:
Monograph
Authors/Creators:
Coca, D.
Billings, S.A.
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.
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