TY  - JOUR
PB  - Elsevier 
EP  -  2859
VL  - 49
SP  - 2853 
A1  - Cerone, Vito
A1  - Piga, Dario
A1  - Regruto, Diego
AV  - public
TI  - A convex relaxation approach to set-membership identification of LPV systems 
ID  - eprints2473
IS  - 9
UR  - http://www.sciencedirect.com/science/article/pii/S0005109813003117
KW  - Bounded-error identification; Convex relaxation; Linear parameter varying; LMI relaxation; Parameter bounds
SN  - 0005-1098
Y1  - 2013/09//
N2  - Abstract Identification of linear parameter varying models is considered in this paper, under the assumption that both the output and the scheduling parameter measurements are affected by bounded noise. First, the problem of computing parameter uncertainty intervals is formulated in terms of nonconvex optimization. Then, on the basis of the analysis of the regressor structure, we present an ad hoc convex relaxation scheme for computing parameter bounds by means of semidefinite optimization. 
JF  - Automatica
ER  -