  Due to the enormous technological improvements obtained in the last decades
it is possible to use robotic vehicles for underwater exploration. This work
describes the development of a dynamic positioning system for remotely operated
underwater vehicles based. The adopted approach is developed using Lyapunov
Stability Theory and enhanced by a neural network based algorithm for
uncertainty and disturbance compensation. The performance of the proposed
control scheme is evaluated by means of numerical simulations.
