Coca, D., Balikhin, M., Billings, S.A. et al. (2 more authors) (2000) Time Domain Analysis of Plasma Turbulence Observed Upstream of a Quasi- Parallel Shock. Research Report. ACSE Research Report 783 . Department of Automatic Control and Systems Engineering
Abstract
This paper presents, for the first time, an analysis of space plasma turbulence based on the NARMAX system identification approach. Fundamental nonlinear processes in the low frequency turbulence observed in the terrestrial fore-shock by AMPTE UKS and AMPTE IRM satellites are studied using time-domain identification methods developed for nonlinear dynamical systems. It is shown, directly from the the experimental data, that the cubic nonlinearity has a significant influence on the dependence of the phase velocity upon the wave amplitude. I comparison with a previous frequency domain approach the present method requires only short data sets.
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 instance |
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: | MRS ALISON THERESA BARNETT |
Date Deposited: | 05 Mar 2015 12:04 |
Last Modified: | 25 Oct 2016 10:28 |
Status: | Published |
Publisher: | Department of Automatic Control and Systems Engineering |
Series Name: | ACSE Research Report 783 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:83985 |