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Policy recommendations for autonomous underwater vehicle operations through hybrid fuzzy system


Loh, TY and Brito, MP and Bose, N and Xu, J and Tenekedjiev, K, Policy recommendations for autonomous underwater vehicle operations through hybrid fuzzy system, Proceedings of the International Association of Maritime Universities (IAMU) Conference, 30 October-1 November 2019, Tokyo, Japan, pp. 143-149. ISSN 2706-6762 (2019) [Refereed Conference Paper]

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The advancement of science and technology has resulted in an emerging trend in the use of autonomous equipment in many maritime universities. One such example is the use of autonomous underwater vehicles (AUV) for marine research. However, a key challenge lies in preventing loss of the AUV during deployment. To better control this risk of loss, a new form of hybrid fuzzy system dynamics risk analysis (FuSDRA) is proposed. The three-step framework was demonstrated by a case study, analysing how reducing government support and increasing technological obsolescence can impact the long-term risk of AUV loss. Both results showed increase in risk of loss after 7 years into the AUV program and a synergistic combined effect when compared to a base scenario. A suite of risk control policy recommendations was proposed based on these results. Lastly, broader applications of the framework to other autonomous equipment is proposed.

Item Details

Item Type:Refereed Conference Paper
Keywords:risk analysis, system dynamics, fuzzy logic, autonomous technology, policy setting
Research Division:Engineering
Research Group:Control engineering, mechatronics and robotics
Research Field:Autonomous vehicle systems
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in engineering
UTAS Author:Loh, TY (Mr Tzu Yang Loh)
UTAS Author:Bose, N (Professor Neil Bose)
UTAS Author:Tenekedjiev, K (Professor Kiril Tenekedjiev)
ID Code:136001
Year Published:2019
Deposited By:NC Maritime Engineering and Hydrodynamics
Deposited On:2019-11-25
Last Modified:2020-01-30
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