Neural network control of underwater vehicles

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Pages (from-to)533-547
Number of pages15
JournalEngineering Applications of Artificial Intelligence
Volume18
Issue number5
DOIs
Publication statusPublished - Aug 2005

Keywords

  • Autonomous learning
  • Intelligent control
  • Model estimation
  • Neuro-control
  • Ocean engineering
  • Online adaptation
  • Underwater vehicles

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