Neural Controlling of Remotely Operated Underwater Vehicle
The main aim of paper is to introduce the results of research concentrated on controlling remotely operated underwater vehicle using artificial neural networks. Firstly the mathematical basis of neural network using to control dynamical object were introduced. Next the proposed control system which is using technology of artificial neural network was presented. At the end the example results of research on stabilizing movements’ parameters of underwater vehicle using ROV simulator were presented. The paper is finished by summary which include conclusions derive from results of research.
Zygmunt Kitowski, Jerzy Garus and Piotr Szymak
A. Żak "Neural Controlling of Remotely Operated Underwater Vehicle", Solid State Phenomena, Vol. 180, pp. 168-174, 2012