G. Antonelli, An Adaptive Law for Guidance and Control of Remotely Operated Vehicles, 2006 14th Mediterranean Conference on Control and Automation, pp.1-6, 2006.
DOI : 10.1109/MED.2006.328731

G. Antonelli, On the Use of Adaptive/Integral Actions for Six-Degrees-of-Freedom Control of Autonomous Underwater Vehicles, IEEE Journal of Oceanic Engineering, vol.32, issue.2, pp.300-312, 2007.
DOI : 10.1109/JOE.2007.893685

G. Antonelli, S. Chiaverini, N. Sarkar, and M. West, Adaptive control of an autonomous underwater vehicle: experimental results on ODIN, Proceedings IEEE International Symposium on Computational Intelligence in Robotics and Automation CIRA'99, pp.64-69, 1999.

G. Antonelli, F. Cacciavale, S. Chiaverini, and G. Fusco, A novel adaptive control law for autonomous underwater vehicles, Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164), pp.447-452, 2001.
DOI : 10.1109/ROBOT.2001.932591

G. Campa, M. Innocenti, and F. Nasuti, Robust control of underwater vehicles: sliding mode control vs. mu synthesis, IEEE Oceanic Engineering Society. OCEANS'98. Conference Proceedings (Cat. No.98CH36259), pp.1640-1644, 1998.
DOI : 10.1109/OCEANS.1998.726366

M. Chang, W. Chang, and H. Liu, Model-based fuzzy modeling and control for autonomous underwater vehicles in the horizontal plane, Journal of Marine Sciences and Technology, vol.11, pp.155-163, 2003.

T. I. Fossen, Marine Control Systems:Guidance, Navigation and Control of Ships, Rigs and Underwater Vehicles, 2002.

T. I. Fossen and B. A. Foss, Sliding control of MIMO nonlinear systems. Modeling, Identification and Control: A Norwegian Research Bulletin, pp.129-138, 1991.

T. I. Fossen and S. Sagatun, Adaptive control of nonlinear underwater robotic systems, Proceedings of the IEEE International Conference on Robotic and Automation ICRA'91, pp.1687-1695, 1991.

A. J. Healey, S. M. Rock, S. Cody, D. Miles, and J. P. Brown, Toward an improved understanding of thruster dynamics for underwater vehicles, IEEE Journal of Oceanic Engineering, vol.20, issue.4, pp.354-361, 1995.
DOI : 10.1109/48.468252

T. W. Kim and J. Yuh, A novel neuro-fuzzy controller for autonomous underwater vehicles, Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164), pp.2350-2355, 2001.
DOI : 10.1109/ROBOT.2001.932973

D. Maalouf, V. Creuze, and A. Chemori, A novel application of multivariable l1 adaptive control: From design to realtime implementation on an underwater vehicle, IEEE/RSJ IROS'12, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00746494

I. S. Shaw, Fuzzy control of industrial systems-theory and applications, 1998.

D. A. Smallwood and L. L. Whitcomb, The effect of model accuracy and thruster saturation on tracking performance of model based controllers for underwater robotic vehicles: experimental results, Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292), pp.1081-1087, 2002.
DOI : 10.1109/ROBOT.2002.1014687

A. Teel, Global stabilization and restricted tracking for multiple integrators with bounded controls. Systems and control letters, pp.165-171, 1992.

O. Yildiz, A. E. Yilma, and B. Gokalp, State-of-the-Art System Solutions for Unmanned Underwater Vehicles, Radioengineering, vol.18, issue.4, pp.590-600, 2009.

J. Yuh, Design and Control of Autonomous Underwater Robots: A Survey, Autonomous Robots, vol.24, pp.7-24, 2000.