TY  - CHAP
N1  - 2010 American Control Conference, held in Marriott Waterfront (USA), June 30-July 02, 2010
ID  - eprints2439
T2  - Proceedings of American Control Conference (ACC), 2010
EP  - 2163
PB  - IEEE
SN  - 978-1-4244-7426-4
A1  - Cerone, Vito
A1  - Piga, Dario
A1  - Regruto, Diego
N2  - In this paper the Set-membership Error-In-Variables (EIV) identification problem is considered, that is the identification of linear dynamic systems when both the output and the input measurements are corrupted by bounded noise. A new approach for the computation of the Parameters Uncertainty Intervals (PUIs) is discussed. First the problem is formulated in terms of non-convex semi-algebraic optimization. Then, a Linear-Matrix-Inequalities relaxation technique is presented to compute parameters bounds by means of convex optimization. Finally, convergence properties and computational complexity of the given algorithms are discussed. Advantages of the proposed technique with respect to previously published ones are discussed both theoretically and by means of a simulated example.
SP  - 2158
Y1  - 2010/06//
KW  - LMI relaxation
KW  -  Set-membership identification
KW  -  errors-invariables
TI  - Set-membership EIV identification through LMI relaxation techniques
AV  - public
UR  - http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5531327&isnumber=5530425
ER  -