Applying the self-tuning fuzzy control with the image detection technique on the obstacle-avoidance for autonomous underwater vehicles-Reference-Cited by-同舟云学术

Applying the self-tuning fuzzy control with the image detection technique on the obstacle-avoidance for autonomous underwater vehicles

Published:2015-01 Issue: Volume:93 Page:11-24
ISSN:0029-8018
Container-title:Ocean Engineering
language:en
Short-container-title:Ocean Engineering

Author:

Fang Ming-Chung^ORCID,Wang Shun-Ming,Mu-Chen Wu,Lin Yu-Hsien

Funder

National Science Council

Research Center for Energy Technology and Strategy (RCETS)

International Wave Dynamics Research Center (IWDRC)

National Cheng Kung University

Publisher

Elsevier BV

Subject

Ocean Engineering,Environmental Engineering

Reference16 articles.

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3. Anwary, A.R., 2009. Comparison of fuzzy BK-product and A⁎ search algorithm for optimal path finding in unsupervised underwater environment. In: Proceedings of the Eighth International Conference on Applications of Electrical Engineering/Eighth International Conference on Applied Electromagnetics, Wireless and Optical Communications, pp. 57–63.

4. Semantics of implication operators and fuzzy relational products;Bandler;Int. J. Man Mach. Stud,1980

5. An obstacle-avoidance technique for autonomous underwater vehicles based on BK-products of fuzzy relation;Bui;Fuzzy Sets Syst.,2006

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