Worst-case analysis of identification: BIBO robustness for closed loop data
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
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
IdentifiersURN: urn:nbn:se:ltu:diva-10276DOI: 10.1109/9.328804Local ID: 90eab210-bf84-11db-834c-000ea68e967bOAI: oai:DiVA.org:ltu-10276DiVA: diva2:983218
Godkänd; 1994; 20070218 (ysko)2016-09-292016-09-29Bibliographically approved