TY  - CHAP
N2  - Identification of linear systems, a priori known to be stable, from input output measurements corrupted by bounded noise is considered in the paper. A formal definition of the feasible parameter set is provided, taking explicitly into account prior information on system stability. On the basis of a detailed analysis of the geometrical structure of the feasible set, convex relaxation techniques are presented to solve nonconvex optimization problems arising in the computation of parameters uncertainty intervals. Properties of the computed relaxed bounds are discussed. A simulated example is presented to show the effectiveness of the proposed technique.
EP  - 2157
TI  - Bounding the parameters of linear systems with stability constraints
UR  - http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5531340&isnumber=5530425
SP  - 2152
ID  - eprints2440
KW  - LMI relaxation; Set-membership identification; stability constraints
N1  - 2010 American Control Conference, held in Marriott Waterfront (USA), June 30-July 02, 2010
PB  - IEEE
T2  - Proceedings of American Control Conference (ACC), 2010
Y1  - 2010/06//
SN  - 978-1-4244-7426-4
AV  - public
A1  - Cerone, Vito
A1  - Piga, Dario
A1  - Regruto, Diego
ER  -