Energy-aware fault-mitigation architecture for underwater vehicles
Author:
Funder
Seventh Framework Programme
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
http://link.springer.com/content/pdf/10.1007/s10514-016-9585-x.pdf
Reference45 articles.
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2. Ahmadzadeh, S. R., Kormushev, P., Caldwell, D. G. (2014b) Multi-objective reinforcement learning for auv thruster failure recovery. In Proceedings of IEEE symposium series on computational intelligence (SSCI 2014), Florida, USA.
3. Alessandri, A., Caccia, M., & Veruggio, G. (1999). Fault detection of actuator faults in unmanned underwater vehicles. Control Engineering Practice, 7, 357–368.
4. Antonelli, G. (2006). Underwater robots motion and force control of vehicle-manipulator systems. Berlin: Springer.
5. Antonelli, G., Caccavale, F., Sansone, C., & Villani, L. (2004). Fault diagnosis for auvs using support vector machines. In Proceedings of ICRA ’04. 2004 IEEE International Conference on Robotics and automation, 2004, Vol. 5, pp. 4486–4491. doi: 10.1109/ROBOT.2004.1302424 .
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