Neural Controlling of Remotely Operated Underwater Vehicle

The main aim of this paper is to introduce the results of research concentrated on controlling remotely operated underwater vehicles using artificial neural networks. Firstly the mathematical basis of neural network used to control dynamical object were introduced. Next the proposed control system which used artificial neural network technology will be presented. At the end the example the results of the research on stabilizing movement parameters of underwater vehicle using ROV simulator are presented. The paper is finishes with a summary which includes conclusions derive from the results of the research.