@inproceedings{79d707f1b7c743ac85bbc9b6dd7a59c7,
title = "Neural network based adaptive backstepping tracking control for accommodation vessel",
abstract = "Combined with the backstepping technique, a neural network (NN)-based adaptive tracking control scheme is proposed for the Accommodation Vessel (AV). The control objective is to steer AV following the trajectory of Floating Production Storage and Offloading (FPSO) and keeping the desired distance with FPSO so that the smooth gangway operation can be achieved. In order to fulfill the control task, backstepping is used to achieve the tracking of trajectory; adaptive neural network is used to approximate the unknown nonlinear dynamic of AV for controller design. Finally, it is proven that the proposed control approach can guarantee AV following to FPSO. The simulation results further demonstrate effectiveness of the proposed method.",
keywords = "Accommodation Vessel, Adaptive tracking control, Backstepping, Neural network",
author = "Guoxing Wen and Chen, {C. L.Philip} and Ning Zhou and Zhao Xu",
note = "Publisher Copyright: {\textcopyright} 2017 Technical Committee on Control Theory, CAA.; 36th Chinese Control Conference, CCC 2017 ; Conference date: 26-07-2017 Through 28-07-2017",
year = "2017",
month = sep,
day = "7",
doi = "10.23919/ChiCC.2017.8027892",
language = "英语",
series = "Chinese Control Conference, CCC",
publisher = "IEEE Computer Society",
pages = "3453--3457",
editor = "Tao Liu and Qianchuan Zhao",
booktitle = "Proceedings of the 36th Chinese Control Conference, CCC 2017",
}