Neural network control of underwater vehicles

Authors:
Pepijn W. J. van de Ven;Colin Flanagan;Daniel Toal
Affiliations:
Control and Instrumentation Systems Group, Department of Electronic and Computer Engineering, University of Limerick, Foundation Building, Limerick, Ireland;Control and Instrumentation Systems Group, Department of Electronic and Computer Engineering, University of Limerick, Foundation Building, Limerick, Ireland;Control and Instrumentation Systems Group, Department of Electronic and Computer Engineering, University of Limerick, Foundation Building, Limerick, Ireland
Venue:
Engineering Applications of Artificial Intelligence
Year:
2005

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Abstract

In this paper, recent research efforts in the field of the application of neural networks (NNs) for the control of (semi-)autonomous underwater vehicles are reviewed. Based on a literature review the authors propose a classification of approaches to control underwater vehicles using NNs and the presented articles are categorized according to the identified categories. Based on practical results as described in the discussed literature this paper presents a qualitative assessment regarding the performance of the control strategies. Per category, or control strategy, the major advantages and disadvantages are identified and discussed.