Feedback linearisation control of an induction machine augmented by single-hidden layer neural networks

DOI10.1080/00207179.2015.1063162zbMath1332.93084OpenAlexW1590890893MaRDI QIDQ2792704

Boubakeur Zegnini, Mohammed Belkheiri, Hamou Ait Abbas

Publication date: 14 March 2016

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

Full work available at URL: https://doi.org/10.1080/00207179.2015.1063162

zbMATH Keywords

output feedback controlparametric uncertaintyinduction machineunmodelled dynamicsfield-oriented controlsingle-hidden-layer neural networks

Mathematics Subject Classification ID

Feedback control (93B52) Linearizations (93B18) Control/observation systems governed by ordinary differential equations (93C15)

Related Items (2)

Robust backstepping control of an interlink converter in a hybrid AC/DC microgrid based on feedback linearisation method ⋮ Adaptive neural network output feedback control for flexible multi-link robotic manipulators

Cites Work

• Multilayer feedforward networks are universal approximators
• Feedback linearization using neural networks
• Robustification of backstepping against input unmodeled dynamics
• Neural-network-observer-based optimal control for unknown nonlinear systems using adaptive dynamic programming
• Adaptive output feedback control of a class of non-linear systems using neural networks
• Recent Advances in Intelligent Control Systems
• Nonlinear decoupling via feedback: A differential geometric approach
• Adaptive output feedback control of nonlinear systems using neural networks
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