Title :
Properties of conditional algorithms in restricted complexity set membership identification
Author :
Garulli, A. ; Kacewicz, B.Z. ; Vicino, A. ; Zappa, G.
Author_Institution :
Dipt. di Ingegneria dell´´Inf., Siena Univ., Italy
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 to employ suboptimal estimation algorithms. This 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; minimisation; multidimensional systems; reduced order systems; set theory; complex systems; computational complexity; conditional algorithms; control-oriented identification; linear finite dimensional models; reliability; restricted complexity estimation; restricted complexity set membership identification; suboptimal estimation algorithms; worst-case identification error minimization; Additive noise; Computational complexity; Control system synthesis; Estimation error; Informatics; Mathematics; Nonlinear control systems; Nonlinear systems; Topology; Vectors;
Conference_Titel :
Decision and Control, 1998. Proceedings of the 37th IEEE Conference on
Conference_Location :
Tampa, FL
Print_ISBN :
0-7803-4394-8
DOI :
10.1109/CDC.1998.762016
