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
fDate :
1/1/2000 12:00:00 AM
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;
Journal_Title :
Automatic Control, IEEE Transactions on
