Chengcheng Pang

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This paper address the problem of trajectory tracking control of an USV based on nonlinear adaptive observer using dynamic recurrent fuzzy neural network (DRFNN). In order to control an underactuated surface vehicle (USV) efficiently, knowledge about the position, velocity and attitude of the USV is needed. For low-cost USV, the sensor suit can only provide(More)
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