Elman neural network for modeling and predictive control of delayed dynamic systems

DOI10.1515/acsc-2016-0007zbMath1446.93023OpenAlexW2316949790MaRDI QIDQ4971655

Maciej Ławryńczuk, Antoni Wysocki

Publication date: 12 October 2020

Published in: Archives of Control Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1515/acsc-2016-0007

zbMATH Keywords

neural networksmodel predictive controlprocess controldynamic modelsdelayed systemsElman neural network

Mathematics Subject Classification ID

Discrete-time control/observation systems (93C55) Networked control (93B70) Model predictive control (93B45)

Related Items (1)

Intelligent trajectory tracking of an aircraft in the presence of internal and external disturbances

Cites Work

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• Subspace-based identification algorithms for Hammerstein and Wiener models

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