Recurrent neural network (RNN) — based approach to identification of underwater robot (UR) is considered and investigated in the paper. It was shown that RNN models can be successfully trained to nonlinear behaviour of a UR. Experiments carried out with data taken from UR dynamics model also confirmed effectiveness and prospective of the approach considered.
['Alexander A. Dyda', 'Dmitry A. Oskin', 'Andrey V. Artemiev']
Robot dynamics identification via neural network