Identification of approximated hammerstein models in a worst-case setting

DOI10.1109/TAC.2002.805678zbMath1364.93157WikidataQ59193860 ScholiaQ59193860MaRDI QIDQ5266996

Andrea Garulli, Laura Giarré, Giovanni Zappa

Publication date: 20 June 2017

Published in: IEEE Transactions on Automatic Control (Search for Journal in Brave)

Mathematics Subject Classification ID

System identification (93B30) Nonlinear systems in control theory (93C10)

Related Items (6)

Computational complexity analysis of set membership identification of Hammerstein and Wiener systems ⋮ One-shot set-membership identification of generalized Hammerstein-Wiener systems ⋮ The nonasymptotic confidence set for parameters of a linear control object under an arbitrary external disturbance ⋮ Subspace-based identification algorithms for Hammerstein and Wiener models ⋮ Guaranteed non-asymptotic confidence regions in system identification ⋮ Approximation of the feasible parameter set in worst-case identification of Hammerstein models

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