Billings, S.A. and Zi-Quang, Lang (1995) A Bound for the Magnitude Characteristics of Nonlinear Output Frequency Response Functions. Part II: Practical Computation of the Bound for Systems Described by the NARX model. Research Report. ACSE Research Report 572 . Department of Automatic Control and Systems Engineering
Abstract
In Part I of this paper the concept of a bound for the output frequency response magnitude characteristics of nonlinear systems was proposed and general calculation and analysis procedures were developed. In this, the second part of the paper, a new recursive algorithm for the computation of the gain bounds for the generalised frequency response functions of the polynomial NARX model is proposed and effective procedures for the practical computation of the new bound are developed. Simulated examples are included to verify the effectiveness of the proposed procedures.
Metadata
Item Type: | Monograph |
---|---|
Authors/Creators: |
|
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. |
Dates: |
|
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: | 04 Aug 2014 11:42 |
Last Modified: | 25 Oct 2016 21:21 |
Status: | Published |
Publisher: | Department of Automatic Control and Systems Engineering |
Series Name: | ACSE Research Report 572 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:80007 |