An introduction to the use of neural networks in control systems

DOI10.1002/rnc.727zbMath1011.93003OpenAlexW2109302642MaRDI QIDQ4790551

Martin T. Hagan, Howard B. Demuth, Orlando de Jesús

Publication date: 28 January 2003

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.727

zbMATH Keywords

neural networksmultilayer perceptronfeedback linearizationmodel predictive controlmodel reference adaptive controlnonlinear design

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Design techniques (robust design, computer-aided design, etc.) (93B51) Adaptive control/observation systems (93C40) Linearizations (93B18) Research exposition (monographs, survey articles) pertaining to systems and control theory (93-02)

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Cites Work

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• Neural networks for control systems - a survey
• Generalization bounds for function approximation from scattered noisy data
• Multilayer feedforward networks are universal approximators
• Neurocontrol: A literature survey
• Learning representations by back-propagating errors

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