Research Article
Optimized Multi-cascade Fuzzy Model for Ship Dynamic Positioning System Based on Genetic Algorithm
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@INPROCEEDINGS{10.1007/978-3-030-30149-1_14, author={Viet-Dung Do and Xuan-Kien Dang and Leminh-Thien Huynh and Van-Cuu Ho}, title={Optimized Multi-cascade Fuzzy Model for Ship Dynamic Positioning System Based on Genetic Algorithm}, proceedings={Industrial Networks and Intelligent Systems. 5th EAI International Conference, INISCOM 2019, Ho Chi Minh City, Vietnam, August 19, 2019, Proceedings}, proceedings_a={INISCOM}, year={2019}, month={9}, keywords={Dynamic positioning system Environmental impact Multi-cascade fuzzy Genetic algorithm}, doi={10.1007/978-3-030-30149-1_14} }- Viet-Dung Do
Xuan-Kien Dang
Leminh-Thien Huynh
Van-Cuu Ho
Year: 2019
Optimized Multi-cascade Fuzzy Model for Ship Dynamic Positioning System Based on Genetic Algorithm
INISCOM
Springer
DOI: 10.1007/978-3-030-30149-1_14
Abstract
In this paper, we aim to develop a multi-cascade fuzzy model for the ship dynamic positioning system influenced by environment to enhance its quality. The cascades of fuzzy model are selected corresponding to the level of output feedback error. The optimized tuning of the structure parameter for fuzzy-case 2 and fuzzy-case 4 is realized by the genetic algorithm. Then, the simulation studies which compare our proposed control strategy with fuzzy control strategy using Matlab are carried out, and the simulation result proves the effectiveness of the multi-cascade fuzzy model.
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