Change search
ReferencesLink to record
Permanent link

Direct link
Worst-case analysis of identification: BIBO robustness for closed loop data
School of Mathematics, University of Leeds.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.
1994 (English)In: IEEE Transactions on Automatic Control, ISSN 0018-9286, E-ISSN 1558-2523, Vol. 39, no 10, 2171-2176 p.Article in journal (Refereed) Published
Abstract [en]

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

Place, publisher, year, edition, pages
1994. Vol. 39, no 10, 2171-2176 p.
Research subject
Control Engineering
URN: urn:nbn:se:ltu:diva-10276DOI: 10.1109/9.328804Local ID: 90eab210-bf84-11db-834c-000ea68e967bOAI: diva2:983218
Godkänd; 1994; 20070218 (ysko)Available from: 2016-09-29 Created: 2016-09-29Bibliographically approved

Open Access in DiVA

fulltext(601 kB)1 downloads
File information
File name FULLTEXT01.pdfFile size 601 kBChecksum SHA-512
Type fulltextMimetype application/pdf

Other links

Publisher's full text
By organisation
Signals and Systems
In the same journal
IEEE Transactions on Automatic Control

Search outside of DiVA

GoogleGoogle Scholar
Total: 1 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 1 hits
ReferencesLink to record
Permanent link

Direct link