eCite Digital Repository
Policy recommendations for autonomous underwater vehicle operations through hybrid fuzzy system
Citation
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]
![]() | PDF (Final published version) Restricted - Request a copy 352Kb |
Copyright Statement
Copyright unknown
Official URL: http://aga20.iamu-edu.org/events/pdf/IAMUC2019_Pro...
Abstract
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 |
Downloads: | 1 View Download Statistics |
Repository Staff Only: item control page