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DRL-Based Thruster Fault Recovery for Unmanned Underwater V..:

Lagattu, Katell ; Le Chenadec, Gilles ; Artusi, Eva...
info:eu-repo/semantics/altIdentifier/doi/10.1109/ANZCC59813.2024.10432828. , 2024

Link: https://ensta-bretagne.hal.science/hal-04437759

RT Journal
T1 <Title>DRL-Based Thruster Fault Recovery for Unmanned Underwater Vehicles</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftunivbrest:oai:HAL:hal-04437759v1&Exemplar=1&LAN=DE
				
A1 Lagattu, Katell
A1 Le Chenadec, Gilles
A1 Artusi, Eva
A1 Santos, Paulo
A1 Sammut, Karl
A1 Clement, Benoit
PB HAL CCSD; IEEE
YR 2024
K1 Unmanned Underwater Vehicle partial thruster faults non-diagnosable faults thruster fault recovery Deep Reinforcement Learning
K1 Unmanned Underwater Vehicle
K1 partial thruster faults
K1 non-diagnosable faults
K1 thruster fault recovery
K1 Deep Reinforcement Learning
K1 [SPI.AUTO]Engineering Sciences [physics]/Automatic
K1 [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
K1 [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
JF info:eu-repo/semantics/altIdentifier/doi/10.1109/ANZCC59813.2024.10432828
LK http://dx.doi.org/https://ensta-bretagne.hal.science/hal-04437759
DO https://ensta-bretagne.hal.science/hal-04437759
SF ELIB - SuUB Bremen

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