A global convergent outlier robust adaptive predictor for MIMO Hammerstein models

DOI10.1002/rnc.3705zbMath1386.93267OpenAlexW2563457768MaRDI QIDQ4599689

Vojislav Ž. Filipović

Publication date: 4 January 2018

Published in: International Journal of Robust and Nonlinear Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/rnc.3705

zbMATH Keywords

predictionoutliersglobal convergencestochastic approximationMIMO Hammerstein model

Mathematics Subject Classification ID

Sensitivity (robustness) (93B35) Stochastic programming (90C15) Adaptive control/observation systems (93C40) Stochastic systems in control theory (general) (93E03)

Related Items (2)

Outlier robust stochastic approximation algorithm for identification of MIMO Hammerstein models ⋮ Outlier robust identification of dual‐rate Hammerstein models in the presence of unmodeled dynamics

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