Partington, J.R. and Makila, P.M. (1994) Worst-case analysis of identification - BIBO robustness for closed loop data. IEEE Transactions on Automatic Control, 39 (10). pp. 2171-2176. ISSN 0018-9286
Abstract
This paper deals with the worst-case analysis of identification of linear shift-invariant (possibly) infinite-dimensional systems. A necessary and sufficient input richness condition for the existence of robustly convergent identification algorithms in l1 is given. A closed-loop identification setting is studied to cover both stable and unstable (but BIBO stabilizable) systems. Identification (or modeling) error is then measured by distance functions which lead to the weakest convergence notions for systems such that closed-loop stability, in the sense of BIBO stability, is a robust property. Worst-case modeling error bounds in several distance functions are included
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | Copyright © 1994 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mathematics (Leeds) |
Depositing User: | Sherpa Assistant |
Date Deposited: | 30 Sep 2005 |
Last Modified: | 10 Jun 2014 08:35 |
Published Version: | http://dx.doi.org/10.1109/9.328804 |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.1109/9.328804 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:697 |