Szczegóły publikacji
Opis bibliograficzny
Reliability of projection algorithms in conditional estimation / A. Garulli, B. Z. KACEWICZ, A. Vicino, G. Zappa // Journal of Optimization Theory and Applications ; ISSN 0022-3239. — 1999 — vol. 101 iss. 1, s. 1–14. — Bibliogr. s. 13–14, Abstr.
Autorzy (4)
- AGHKacewicz Bolesław
- Vicino Antonio
- Zappa Giovanni
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 2607 |
|---|---|
| Data dodania do BaDAP | 2001-04-18 |
| Tekst źródłowy | URL |
| DOI | 10.1023/A:1021710825323 |
| Rok publikacji | 1999 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Czasopismo/seria | Journal of Optimization Theory and Applications |
Abstract
This paper studies the role of projection algorithms in conditional set membership estimation. These algorithms are known to be suboptimal in terms of the worst-case estimation error. A tight upper bound on the error of central projection estimators and interpolatory projection estimators is computed as a function of the conditional radius of information. Since the radius of information represents the minimum achievable error, the derived bound provides a measure of the reliability level of the suboptimal algorithms. The results are derived in a general deterministic setting, which allows the consideration of linearly parametrized approximations of a compact set of feasible problem elements.
