A neural state estimator with bounded errors for nonlinear systems

DOI10.1109/9.802911zbMath0955.93050OpenAlexW2098524340MaRDI QIDQ4506955

R. Zoppoli, Angelo Alessandri, Marco Baglietto, Thomas Parisini

Publication date: 17 October 2000

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

Full work available at URL: https://doi.org/10.1109/9.802911

zbMATH Keywords

convergence resultsdiscrete-time nonlinear systemsminimax tuning techniqueneural state estimator

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Nonlinear systems in control theory (93C10) Discrete-time control/observation systems (93C55) Estimation and detection in stochastic control theory (93E10)

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