Identification and Reconstruction of Chaotic Systems Using Multiresolution Wavelet Decompositions
Wei, H. L. and Billings, S.A.
(2003)
Identification and Reconstruction of Chaotic Systems Using Multiresolution Wavelet Decompositions.
Research Report.
ACSE Research Report 845
.
Department of Control Engineering, University of Sheffield
Abstract
A new modelling framework for identifying and reconstructing chaotic systems is developed based on multiresolution wavelet decompositions. Qualitative model validation is used to compare the multiresolution wavelet models and it is shown that the dynamical features of chaotic systems can be captured by the identified models providing the wavelet basis functions are properly selected. Two basis selection algorithms, orthogonal least squares (OLS) and a new matching pursuit orthoganal least squares (MPOLS), are considered and compared. Several examples are included to illustrate the results.
Metadata
Item Type:
Monograph
Authors/Creators:
Wei, H. L.
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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