Billings, S.A. and Zhu, Q.M. (1990) Rational Model Identification Using an Extended Least Squares Algorithm. Research Report. Acse Report 388 . Dept of Automatic Control and System Engineering. University of Sheffield
Abstract
A new least squares based parameter estimation algorithm s derived for non-linear systems which can be represented by a rational model defined as the ratio of two polynomial expansions of past system inputs, outputs and noise. Simulation results are included to illustrate the performance of the new algorithm.
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: | 25 Mar 2014 12:19 |
Last Modified: | 24 Oct 2016 22:16 |
Status: | Published |
Publisher: | Dept of Automatic Control and System Engineering. University of Sheffield |
Series Name: | Acse Report 388 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:78280 |