Machine Learning with Echo State Networks for Automated Fault Diagnosis in Small Unmanned Aircraft Systems
Author:
Affiliation:
1. University of Southern Denmark,Maersk Mc-Kinney Moller Institute,Odense,Denmark,5320
2. Norwegian University of Science and Technology,Department of ICT and Natural Sciences,Ålesund,Norway,6009
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9836022/9835714/09836179.pdf?arnumber=9836179
Reference19 articles.
1. Mote-Based Online Anomaly Detection Using Echo State Networks
2. Control of a Hexa-Rotor System Using Various of X-MPC Techniques
3. Robust Actuator Fault Diagnosis Algorithm for Autonomous Hexacopter UAVs;rot;IFAC World Congress,2020
4. Nonlinear controller for a UAV using Echo State Network
5. System Identification of Multi-Rotor UAV’s using Echo State Networks;vargas;AUVSI’s Unmanned Systems 2015,2015
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