DocumentCode
1310458
Title
Error bounds for conditional algorithms in restricted complexity set membership identification
Author
Garulli, A. ; Kacewicz, B. ; Vicino, A. ; Zappa, G.
Author_Institution
Dipt. di Ingegneria dell´´Inf., Siena Univ., Italy
Volume
45
Issue
1
fYear
2000
fDate
1/1/2000 12:00:00 AM
Firstpage
160
Lastpage
164
Abstract
Restricted complexity estimation is a major topic in control-oriented identification. Conditional algorithms are used to identify linear finite-dimensional models of complex systems, the aim being to minimize the worst-case identification error. High computational complexity of optimal solutions suggests employing suboptimal estimation algorithms. The paper studies different classes of conditional estimators and provides results that assess the reliability level of suboptimal algorithms
Keywords
computational complexity; identification; large-scale systems; set theory; complex systems; conditional algorithms; control-oriented identification; error bounds; linear finite-dimensional models; restricted complexity set membership identification; worst-case identification error; Actuators; Control theory; Filtering theory; Flexible structures; Modeling; Particle measurements; Poles and zeros; Sun;
fLanguage
English
Journal_Title
Automatic Control, IEEE Transactions on
Publisher
ieee
ISSN
0018-9286
Type
jour
DOI
10.1109/9.827376
Filename
827376
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