Abstract
The classical approach to modelling the dynamic behaviour of rigid bodies is to express their behaviour as a set of simultaneous linear and non-linear differential equations, and to obtain a solution for various input simuli. An alternative approach is that of system identification whereby a given input such as a sinusoid or pseudo- random binary sequence is applied to the real system and from a set of input/output measurements a mathematical model may be obtained. This paper investigates the generation of a state variable representation of a ship in three degrees of freedom by the application of an artificial neural network.
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