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