TY  - CHAP
SN  - 978-1-4577-0080-4
PB  - IEEE
EP  - 176
Y1  - 2011/06//
SP  - 171
T2  - Proceedings of American Control Conference (ACC), 2011
A1  - Cerone, Vito
A1  - Piga, Dario
A1  - Regruto, Diego
AV  - public
ID  - eprints2442
TI  - Convex relaxation techniques for set-membership identification of LPV systems
N1  - 2011 American Control Conference, held in San Francisco (USA), June 29 - July 01, 2011
UR  - http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5991414&isnumber=5989965
N2  - Set-membership identification of single-input single-output linear parameter varying models is considered in the paper under the assumption that both the output and the scheduling parameter measurements are affected by bounded noise. First, we show that the problem of computing the parameter uncertainty intervals requires the solutions to a number of nonconvex optimization problems. Then, on the basis of the analysis of the regressor structure, we present some ad hoc convex relaxation schemes to compute parameter bounds by means of semidefinite optimization. Advantages of the new techniques with respect to previously published results are discussed both theoretically and by means of simulations.
KW  - Bounded error identification; LMI relaxation; Linear Parameter Varying; Parameters bounds
ER  -