Intelligent embedded and real-time ANN-based motor control for multi-rotor unmanned aircraft systems

Conference Object

Date

2017

Author

Michael, G.
Efstathiou, N.
Mantis, K.

Theocharides, Theocharis
Pau, D.

Source

2017 IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC)

Pages

1-6

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Keyword(s):

Neural networks

Real-time systems

Artificial neural network

Autonomous aerial vehicles

Commercial multirotor unmanned aerial vehicles

Constant technological advancements

Disaster management

Diverse entrance

Fail-safe mechanisms

Inexperienced pilots

Integrated intelligent motor controller

Intelligent power

Intelligent sensors

Lightweight embedded processing board

Multirotor unmanned aircraft systems

Neurocontrollers

On-board sensors

Powerful entrance

Reaction-time window

Technical problems

Turbulent situations

Turbulent winds

Unforeseen flight incidents

Metadata

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DOI

10.1109/VLSI-SoC.2017.8203456

URI

http://gnosis.library.ucy.ac.cy/handle/7/44210

Collections

Τμήμα Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών / Department of Electrical and Computer Engineering [2853]

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