In this paper the problem of approximating the feasible parameter set for identification of a system in a set membership setting is considered. The system model is linear in the unknown parameters. A recursive procedure providing an approximation of the parameter set of interest through parallelotopes is presented, and an efficient algorithm is proposed. Its computational complexity is similar to that of the commonly used ellipsoidal approximation schemes, Numerical results are also reported on some simulation experiments conducted to assess the performance of the proposed algorithm.
Vicino, A., Zappa, G. (1996). Sequential approximation of feasible parameter sets for identification with set membership uncertainty. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 41(6), 774-785 [10.1109/9.506230].
Sequential approximation of feasible parameter sets for identification with set membership uncertainty
VICINO, ANTONIO;
1996-01-01
Abstract
In this paper the problem of approximating the feasible parameter set for identification of a system in a set membership setting is considered. The system model is linear in the unknown parameters. A recursive procedure providing an approximation of the parameter set of interest through parallelotopes is presented, and an efficient algorithm is proposed. Its computational complexity is similar to that of the commonly used ellipsoidal approximation schemes, Numerical results are also reported on some simulation experiments conducted to assess the performance of the proposed algorithm.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
https://hdl.handle.net/11365/8958
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