Ship Steering Control Based on Quantum Neural Network
Joint Authors
Guan, Wei
Zhou, Haotian
Su, Zuojing
Zhang, Xianku
Zhao, Chao
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-12-17
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
During the mission at sea, the ship steering control to yaw motions of the intelligent autonomous surface vessel (IASV) is a very challenging task.
In this paper, a quantum neural network (QNN) which takes the advantages of learning capabilities and fast learning rate is proposed to act as the foundation feedback control hierarchy module of the IASV planning and control strategy.
The numeric simulations had shown that the QNN steering controller could improve the learning rate performance significantly comparing with the conventional neural networks.
Furthermore, the numeric and practical steering control experiment of the IASV BAICHUAN has shown a good control performance similar to the conventional PID steering controller and it confirms the feasibility of the QNN steering controller of IASV planning and control engineering applications in the future.
American Psychological Association (APA)
Guan, Wei& Zhou, Haotian& Su, Zuojing& Zhang, Xianku& Zhao, Chao. 2019. Ship Steering Control Based on Quantum Neural Network. Complexity،Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1131548
Modern Language Association (MLA)
Guan, Wei…[et al.]. Ship Steering Control Based on Quantum Neural Network. Complexity No. 2019 (2019), pp.1-10.
https://search.emarefa.net/detail/BIM-1131548
American Medical Association (AMA)
Guan, Wei& Zhou, Haotian& Su, Zuojing& Zhang, Xianku& Zhao, Chao. Ship Steering Control Based on Quantum Neural Network. Complexity. 2019. Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1131548
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1131548