Unmanned Underwater Vehicles Fault Identification and Fault-Tolerant Control Method Based on FCA-CMAC Neural Networks, Applied on an Actuated Vehicle-Reference-Cited by-同舟云学术

Unmanned Underwater Vehicles Fault Identification and Fault-Tolerant Control Method Based on FCA-CMAC Neural Networks, Applied on an Actuated Vehicle

Published:2011-07-12 Issue:4 Volume:66 Page:463-475
ISSN:0921-0296
Container-title:Journal of Intelligent & Robotic Systems
language:en
Short-container-title:J Intell Robot Syst

Author:

Liu Qian,Zhu Daqi,Yang Simon X.

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Industrial and Manufacturing Engineering,Mechanical Engineering,Control and Systems Engineering,Software

Link

http://link.springer.com/content/pdf/10.1007/s10846-011-9602-4.pdf

Reference20 articles.

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3. Yang, K.C., Yuh, J., Choi, S.K.: Experimental study of fault-tolerant system design for underwater robots. Proceedings of the IEEE international conference on Robotics and Automation. Leuven, Belgium (1998)

4. Yang, K.C., Choi, S.K.: Fault-tolerant system design of an autonomous underwater vehicle-ODIN: an experimental study. Int. J. Syst. Sci. 30(9), 1011–1019 (1999)

5. Podder, T.K., Sarkar, N.: Fault-tolerant decomposition of thruster forces of an autonomous underwater vehicle. Proceedings of the IEEE international conference on Robotics and Automation Detroit. MIT, USA (1999)

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