Error bounds for conditional algorithms in restricted complexity set membership identification

Authors
Garulli, A Kacewicz, B Vicino, A Zappa, G
Citation
A. Garulli et al., Error bounds for conditional algorithms in restricted complexity set membership identification, IEEE AUTO C, 45(1), 2000, pp. 160-164
Citations number
10
Categorie Soggetti
AI Robotics and Automatic Control
Journal title
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
ISSN journal
00189286 → ACNP
Volume
45
Issue
1
Year of publication
2000
Pages
160 - 164
Database
ISI
SICI code
0018-9286(200001)45:1<160:EBFCAI>2.0.ZU;2-#
Abstract
Restricted complexity estimation is a major topic in control-oriented ident ification. Conditional algorithms are used to identify linear finite-dimens ional models of complex systems, the aim being to minimize the worst-case i dentification error. High computational complexity of optimal solutions sug gests to employ suboptimal estimation algorithms. This paper studies differ ent classes of conditional estimators and provides results that assess the reliability level of suboptimal algorithms.