Approximation of the feasible parameter set in worst-case identification of Hammerstein models

DOI10.1016/j.automatica.2004.12.010zbMath1091.93014OpenAlexW2059670207WikidataQ59193840 ScholiaQ59193840MaRDI QIDQ814007

Giovanni Zappa, Laura Giarré, Paola Falugi

Publication date: 2 February 2006

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2004.12.010

zbMATH Keywords

Hammerstein modelsset membershipnonlinear systems identificationuncertainty intervals

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) System identification (93B30) Adaptive control/observation systems (93C40)

Related Items (4)

Computational complexity analysis of set membership identification of Hammerstein and Wiener systems ⋮ Model uncertainty estimation of a solid oxide fuel cell using a Volterra-type model ⋮ Robust model predictive control of Wiener systems ⋮ Wiener and Hammerstein uncertain models identification

Cites Work

• An optimal two-stage identification algorithm for Hammerstein-Wiener nonlinear systems
• Computation of minimum-time feedback control laws for discrete-time systems with state-control constraints
• Identification of approximated hammerstein models in a worst-case setting

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