TY  - CHAP
Y1  - 2011/06//
N1  - 2011 American Control Conference, held in San Francisco (USA),
June 29 - July 01, 2011
EP  - 1252
A1  - Cerone, Vito
A1  - Piga, Dario
A1  - Regruto, Diego
UR  - http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5991418&isnumber=5989965
PB  - IEEE
T2  - Proceedings of American Control Conference (ACC), 2011
TI  - Hammerstein systems parameters bounding through sparse polynomial optimization
SN  - 978-1-4577-0080-4
AV  - public
ID  - eprints2441
N2  - A single-stage procedure for the evaluation of tight bounds on the parameters of Hammerstein systems from output measurements affected by bounded errors is presented. The identification problem is formulated in terms of polynomial optimization, and relaxation techniques based on linear matrix inequalities are proposed to evaluate parameters bounds by means of convex optimization. The structured sparsity of the identification problem is exploited to reduce the computational complexity of the convex relaxed problem. Convergence proper ties, complexity analysis and advantages of the proposed technique with respect to previously published ones are discussed.
SP  - 1247
KW  - Bounded error identification; Hammerstein systems;  Parameters bounds; Sparse LMI relaxation
ER  -