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- W2100002218 abstract "The performance of the control module in an autonomous underwater vehicle (AUV) is critical to the success of vehicle missions. However, testing such a control unit in-situ is usually very costly and risky. A graphic simulator based on X-window for an AUV docking process has been developed. Based on a 1-dimensional physical model of a low-speed underwater marine vehicle and a radial basis function (RBF) neural network (NN) as the control unit, the simulator provides an experimental platform for developing, training and testing of AUV controllers in a safe, economic and reliable way. Through its use, the feasibility and effectiveness of a NN-based control module (for the vehicle borehole docking project funded by NSF and in cooperation with IFREMER) have been successfully demonstrated. >" @default.
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- W2100002218 date "2002-12-17" @default.
- W2100002218 modified "2023-09-27" @default.
- W2100002218 title "A graphic simulator for autonomous underwater vehicle docking operations" @default.
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- W2100002218 doi "https://doi.org/10.1109/oceans.1994.363886" @default.
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