Peer-Reviewed Journal Details
Mandatory Fields
Van-de-Ven PWJ, Flanagan C, Toal D
2005
August
Engineering Applications Of Artificial Intelligence
Neural network control of underwater vehicles
Published
()
Optional Fields
autonomous learning intelligent control model estimation neuro-control ocean engineering online adaptation underwater vehicles ROBOTIC VEHICLES LEARNING CONTROL NET CONTROLLER CONTROL-SYSTEM
18
5
533
547
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. (c) 2005 Elsevier Ltd. All rights reserved.
ISSN: 0952-1976
10.1016/j.engappai.2004.12.004
Grant Details
IRCSET PhD