An Overview of Recent Advances in Coordinated Control of Multiple Autonomous Surface Vehicles

计算机科学 弹道 无人机 水下 控制(管理) 人工智能 工程类 海洋工程 海洋学 天文 物理 地质学
作者
Zhouhua Peng,Jun Wang,Dan Wang,Qing‐Long Han
出处
期刊:IEEE Transactions on Industrial Informatics [Institute of Electrical and Electronics Engineers]
卷期号:17 (2): 732-745 被引量:445
标识
DOI:10.1109/tii.2020.3004343
摘要

Autonomous surface vehicles (ASVs) are marine vessels capable of performing various marine operations without a crew in a variety of cluttered and hostile water/ocean environments. For complex missions, there are increasing needs for deploying a fleet of ASVs instead of a single one to complete difficult tasks. Cooperative operations with a fleet of ASVs offer great advantages with enhanced capability and efficacy. Despite various application potentials, coordinated motion control of ASVs pose great challenges due to the multiplicity of ASVs, complexity of intravehicle interactions and fleet formation with collision avoidance requirements, and scarcity of communication bandwidths in sea environments. Coordinated control of multiple ASVs has received considerable attention in the last decade. This article provides an overview of recent advances in coordinated control of multiple ASVs. First, some challenging issues and scenarios in motion control of ASVs are presented. Next, coordinated control architecture and methods of multiple ASVs are briefly discussed. Then, recent results on trajectory-guided, path-guided, and target-guided coordinated control of multiple ASVs are reviewed in detail. Finally, several theoretical and technical issues are suggested to direct future investigations including network-based coordination, event-triggered coordination, collision-free coordination, optimization-based coordination, data-driven coordination of ASVs, and task-region-oriented coordination of multiple ASVs and autonomous underwater vehicles.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
ZZ迪完成签到,获得积分10
刚刚
冰糕发布了新的文献求助10
1秒前
3秒前
4秒前
嗯哼应助红烧茄子采纳,获得20
5秒前
小马甲应助as采纳,获得10
5秒前
彭凯发布了新的文献求助10
7秒前
Phosphene应助我我采纳,获得10
11秒前
13秒前
13秒前
13秒前
希望天下0贩的0应助彭凯采纳,获得10
13秒前
王喂喂哦啊嗯完成签到,获得积分20
15秒前
剑影完成签到,获得积分10
16秒前
互为安良发布了新的文献求助10
16秒前
RXL完成签到,获得积分10
17秒前
as发布了新的文献求助10
18秒前
周三完成签到,获得积分10
19秒前
20秒前
嗯哼应助X欣采纳,获得20
22秒前
25秒前
z_king_d_23发布了新的文献求助10
26秒前
三三三木发布了新的文献求助10
29秒前
科研通AI2S应助朱小小采纳,获得10
31秒前
32秒前
33秒前
33秒前
cocolu应助朴素小霜采纳,获得20
35秒前
科研白小白应助hh采纳,获得30
36秒前
乐乐乐乐乐乐应助hh采纳,获得10
36秒前
39秒前
39秒前
隐形曼青应助Zhangyw采纳,获得10
39秒前
Elvira发布了新的文献求助10
39秒前
李爱国应助互为安良采纳,获得10
40秒前
小弈发布了新的文献求助10
40秒前
英姑应助727042677采纳,获得10
41秒前
111完成签到,获得积分10
42秒前
一往之前发布了新的文献求助10
43秒前
搞怪哑铃发布了新的文献求助10
44秒前
高分求助中
Solution Manual for Strategic Compensation A Human Resource Management Approach 1200
Natural History of Mantodea 螳螂的自然史 1000
Glucuronolactone Market Outlook Report: Industry Size, Competition, Trends and Growth Opportunities by Region, YoY Forecasts from 2024 to 2031 800
A Photographic Guide to Mantis of China 常见螳螂野外识别手册 800
Zeitschrift für Orient-Archäologie 500
Smith-Purcell Radiation 500
Autoregulatory progressive resistance exercise: linear versus a velocity-based flexible model 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 细胞生物学 免疫学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3343110
求助须知:如何正确求助?哪些是违规求助? 2970174
关于积分的说明 8642934
捐赠科研通 2650115
什么是DOI,文献DOI怎么找? 1451132
科研通“疑难数据库(出版商)”最低求助积分说明 672099
邀请新用户注册赠送积分活动 661407