Maintaining Symmetry in Optimal and Safe Control of the Ship to Avoid Collisions at Sea

Author:

Lisowski Józef1ORCID

Affiliation:

1. Faculty of Electrical Engineering, Gdynia Maritime University, 81-225 Gdynia, Poland

Abstract

The aim of this study was to make a novel symmetry analysis in relation to the importance of optimizing the ship’s trajectory and safety in situations at sea where there is a risk of collision with other ships. To achieve this, the state constraints in the optimization were formulated as ship domains generated by the neural network. In addition, the use of the Bellman dynamic programming method enabled the effective optimization of the ship’s safe control. The above assumptions were confirmed by the calculations of the optimal and safe ship traffic paths for the two valid agree with COLREGs states of visibility at sea and for different densities of the dynamic programming grid. Practical conclusions from the research were formulated, and a plan for further research on methods of ensuring safety in navigation was outlined.

Publisher

MDPI AG

Subject

Physics and Astronomy (miscellaneous),General Mathematics,Chemistry (miscellaneous),Computer Science (miscellaneous)

Reference51 articles.

1. Fixed-time time-varying output formation–containment control of heterogeneous general multi-agent systems;Duan;ISA Trans.,2023

2. Learning Control for Motion Coordination in Wafer Scanners: Toward Gain Adaptation;Song;IEEE Trans. Ind. Electron.,2022

3. Data-Driven Feedforward Learning With Force Ripple Compensation for Wafer Stages: A Variable-Gain Robust Approach;Song;IEEE Trans. Neural Netw. Learn. Syst.,2022

4. A distributionally robust optimization based method for stochastic model predictive control;Li;IEEE Trans. Autom. Control,2021

5. Improving Physical Layer Security of Uplink NOMA via Energy Harvesting Jammers;Cao;IEEE Trans. Inf. Forensics Secur.,2021

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3