Identification of Nonlinear Systems Using Correlation Analysis and Pseudorandom Inputs
Billings, S.A. and Fakhouri, S.Y.
(1978)
Identification of Nonlinear Systems Using Correlation Analysis and Pseudorandom Inputs.
Research Report.
ACSE Report 78
.
Department of Control Engineering, University of Sheffield, Mappin Street, Sheffield
Abstract
Algorithms for the identification of open and closed-loop nonlinear systems composed of linear dynamic and static nonlinear elements are developed. it is shown that correlation analysis based upon compound pseudorandom inputs provides estimates of the individual component subsystems. The selection of pseudorandom inputs is discussed and simulated examples are included
Metadata
Item Type:
Monograph
Authors/Creators:
Billings, S.A.
Fakhouri, S.Y.
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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