Design of expert systems for autonomous underwater vehicle control

Torsten Teubler; Horst Hellbruck

doi:10.1109/OCEANS.2016.7761371

Design of expert systems for autonomous underwater vehicle control

Torsten Teubler, Horst Hellbruck

Institut für Telematik

Technische Hochschule Lübeck

4 Zitate (Scopus)

Abstract

The development process of an intelligent autonomous underwater vehicle (AUV) is based on experiential knowledge leading to uncertainty in the software development for the intelligent AUV control. In this work we suggest an expert system to implement the AUV control software because expert systems handle uncertainty during the development process better than conventional, procedural programming languages. Furthermore, we provide design principles for the system architecture and the expert system. Finally, we present preliminary evaluation results on our designated computer hardware for the AUV we develop in a joint research project.

Originalsprache	Englisch
Titel	OCEANS 2016 MTS/IEEE Monterey
Herausgeber (Verlag)	IEEE
Erscheinungsdatum	28.11.2016
Aufsatznummer	7761371
ISBN (Print)	978-1-5090-1527-6
ISBN (elektronisch)	978-1-5090-1537-5
DOIs	https://doi.org/10.1109/OCEANS.2016.7761371
Publikationsstatus	Veröffentlicht - 28.11.2016
Veranstaltung	OCEANS 2016 MTS/IEEE Monterey - Monterey, USA / Vereinigte Staaten Dauer: 19.09.2016 → 23.09.2016 https://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7750936

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10.1109/OCEANS.2016.7761371

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abstract = "The development process of an intelligent autonomous underwater vehicle (AUV) is based on experiential knowledge leading to uncertainty in the software development for the intelligent AUV control. In this work we suggest an expert system to implement the AUV control software because expert systems handle uncertainty during the development process better than conventional, procedural programming languages. Furthermore, we provide design principles for the system architecture and the expert system. Finally, we present preliminary evaluation results on our designated computer hardware for the AUV we develop in a joint research project.",

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AB - The development process of an intelligent autonomous underwater vehicle (AUV) is based on experiential knowledge leading to uncertainty in the software development for the intelligent AUV control. In this work we suggest an expert system to implement the AUV control software because expert systems handle uncertainty during the development process better than conventional, procedural programming languages. Furthermore, we provide design principles for the system architecture and the expert system. Finally, we present preliminary evaluation results on our designated computer hardware for the AUV we develop in a joint research project.

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M3 - Conference contribution

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ER -

Design of expert systems for autonomous underwater vehicle control

Abstract

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