DocumentCode :
2768468
Title :
Generalized projection algorithms for identification of mixed uncertainty models
Author :
Giarre, L. ; Garulli, A. ; Zappa, G.
Author_Institution :
Dipt. di Autom. e Inf., Politecnico di Torino, Italy
Volume :
4
fYear :
1998
fDate :
16-18 Dec 1998
Firstpage :
4470
Abstract :
In this paper the problem of identifying a mixed uncertainty model suitable for robust control, accounting for both unmodelled dynamics and measurement errors, is considered. A generalized projection algorithm estimating the best model consistent with data is determined, solving the problem off-line (via linear programming) and online (via recursive cone algorithm)
Keywords :
identification; linear programming; measurement errors; robust control; uncertain systems; LP; generalized projection algorithms; linear programming; measurement errors; mixed uncertainty model identification; recursive cone algorithm; robust control; unmodelled dynamics; Delay lines; Ear; Measurement errors; Nonlinear dynamical systems; Parametric statistics; Projection algorithms; Recursive estimation; Robust control; Robustness; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 1998. Proceedings of the 37th IEEE Conference on
Conference_Location :
Tampa, FL
ISSN :
0191-2216
Print_ISBN :
0-7803-4394-8
Type :
conf
DOI :
10.1109/CDC.1998.762019
Filename :
762019
Link To Document :
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