Title :
IBC: A Working Tool for Robust Parametric Identification
Author_Institution :
CENS-CNR, Politecnico di Torino, Corso Duca degli Abruzzi, 24, 10129 Torino (Italy)
Abstract :
In this paper. we explore the utility of Information-Based Complexity (IBC) for control-oriented robust parametric identification in the presence of noisy data. In addition. we show that a number of IBC algorithms and their associated worst-case errors are computable by means of vertex optimization.
Keywords :
Computer science; Equations; Finite impulse response filter; Hilbert space; Jacobian matrices; Parameter estimation; Robust control; Robustness; Smoothing methods; System identification;
Conference_Titel :
American Control Conference, 1992
Conference_Location :
Chicago, IL, USA
Print_ISBN :
0-7803-0210-9
