Artificial intelligence for the control of underwater vehicles

Pepijen W.J. Van De Ven; Colin Flanagan; Daniel Toal

Artificial intelligence for the control of underwater vehicles

Pepijen W.J. Van De Ven, Colin Flanagan, Daniel Toal

Department of Electronics & Computer Engineering

Research output: Contribution to conference › Paper › peer-review

Abstract

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

Original language	English
Pages	559-564
Number of pages	6
Publication status	Published - 2003
Event	Smart Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Programming, Complex Systems and Artificial Life - Proceedings of the Artificial Neural Networks in Engineering Conference - St. Louis, MO., United States Duration: 2 Nov 2003 → 5 Nov 2003

Conference

Conference	Smart Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Programming, Complex Systems and Artificial Life - Proceedings of the Artificial Neural Networks in Engineering Conference
Country/Territory	United States
City	St. Louis, MO.
Period	2/11/03 → 5/11/03

Cite this

Van De Ven, P. W. J., Flanagan, C., & Toal, D. (2003). Artificial intelligence for the control of underwater vehicles. 559-564. Paper presented at Smart Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Programming, Complex Systems and Artificial Life - Proceedings of the Artificial Neural Networks in Engineering Conference, St. Louis, MO., United States.

Van De Ven, Pepijen W.J. ; Flanagan, Colin ; Toal, Daniel. / Artificial intelligence for the control of underwater vehicles. Paper presented at Smart Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Programming, Complex Systems and Artificial Life - Proceedings of the Artificial Neural Networks in Engineering Conference, St. Louis, MO., United States.6 p.

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title = "Artificial intelligence for the control of underwater vehicles",

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

author = "{Van De Ven}, {Pepijen W.J.} and Colin Flanagan and Daniel Toal",

year = "2003",

language = "English",

pages = "559--564",

note = "Smart Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Programming, Complex Systems and Artificial Life - Proceedings of the Artificial Neural Networks in Engineering Conference ; Conference date: 02-11-2003 Through 05-11-2003",

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Van De Ven, PWJ , Flanagan, C & Toal, D 2003, 'Artificial intelligence for the control of underwater vehicles', Paper presented at Smart Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Programming, Complex Systems and Artificial Life - Proceedings of the Artificial Neural Networks in Engineering Conference, St. Louis, MO., United States, 2/11/03 - 5/11/03 pp. 559-564.

Artificial intelligence for the control of underwater vehicles. / Van De Ven, Pepijen W.J.; Flanagan, Colin ; Toal, Daniel.
2003. 559-564 Paper presented at Smart Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Programming, Complex Systems and Artificial Life - Proceedings of the Artificial Neural Networks in Engineering Conference, St. Louis, MO., United States.

Research output: Contribution to conference › Paper › peer-review

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T1 - Artificial intelligence for the control of underwater vehicles

AU - Van De Ven, Pepijen W.J.

AU - Flanagan, Colin

AU - Toal, Daniel

PY - 2003

Y1 - 2003

N2 - In this paper recent research efforts in the field of the application of neural networks for the control of (semi-) autonomous underwater vehicles are reviewed. Based on a literature review a classification of neural network approaches to this control problem is proposed and the presented articles are categorized according to the identified categories. Based on practical results as described in the discussed literature a qualitative assessment regarding the performance of the control strategies is given. Per category, or control strategy, the major advantages and disadvantages are identified and discussed.

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

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M3 - Paper

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T2 - Smart Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Programming, Complex Systems and Artificial Life - Proceedings of the Artificial Neural Networks in Engineering Conference

Y2 - 2 November 2003 through 5 November 2003

ER -

Artificial intelligence for the control of underwater vehicles

Abstract

Conference

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