An LSTM-based Fleet Formation Recognition Algorithm

被引：0
|
作者：
Lin, Zhaochen [1 ]
Zhang, Xinran [1 ]
Mao, Ning [1 ]
Ile, Fenghua [1 ]
机构：
[1] Harbin Inst Technol, Harbin 150001, Peoples R China
来源：
2021 PROCEEDINGS OF THE 40TH CHINESE CONTROL CONFERENCE (CCC) | 2021年
关键词：
Fleet Formation; Formation Recognition; LSTM;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, a fleet formation recognition problem is investigated in which a team of ships cooperate to carry out a mission. First, the ship motion model is established and the corresponding fleet formation dataset is generated. Then, a formation recognition algorithm based on Long Short-Term Memory(LSTM) network is proposed. Finally, simulation experimental results show the effectiveness of the proposed algorithm.
引用
收藏
页码：8565 / 8569
页数：5
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