ABSTRACT

In this study, parameter estimation of an Autonomous Surface Vehicle using neural networks is tried. Parameters were estimated by using simulation result of trained neural network. With this estimated parameter, linear system was constructed and linear simulation was performed. By comparing simulation data and estimated result, this paper shows the validity of parameter estimation method using neural networks.

Keywords:
maneuvering equation, simulation result, hydrodynamic coefficient, autonomous surface vehicle, input data, equation, coefficient, artificial intelligence, feed forward neural network, hydrodynamic force
Subjects:
Information Management and Systems, Neural networks
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2013. International Society of Offshore and Polar Engineers
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