The DOI matches its Crossref record; 75 of the 75 references it cites were found in a registry or an index.
An Overview of Recent Advances in Coordinated Control of Multiple Autonomous Surface Vehicles
Abstract
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.
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Cites
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Handbook of Marine Craft Hydrodynamics and Motion Control
Fossen, T. I. (2021) · Wiley eBooks · doi:10.1002/9781119575016 · Cited by 1,899
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Self-citationUnmanned surface vehicles: An overview of developments and challenges
Liu, Z., Zhang, Y., Yu, X., & Yuan, C. (2016) · Annual Reviews in Control · doi:10.1016/j.arcontrol.2016.04.018 · Cited by 1,235
An Overview of Recent Advances in Event-Triggered Consensus of Multiagent Systems
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Self-citationRecent Research in Cooperative Control of Multivehicle Systems
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Networked control systems: a survey of trends and techniques
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Self-citationAdaptive maneuvering, with experiments, for a model ship in a marine control laboratory
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Cited by
An Overview of Finite/Fixed-Time Control and Its Application in Engineering Systems
Liu, Y., Li, H., Lu, R., Zuo, Z., & Li, X. (2022) · IEEE/CAA Journal of Automatica Sinica · doi:10.1109/jas.2022.105413 · Cited by 512
Survey of deep learning for autonomous surface vehicles in marine environments
Qiao, Y., Yin, J., Wang, W., Duarte, F., Yang, J., & Ratti, C. (2023) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2023.3235911 · Cited by 192
Jiang, X., Li, J., Li, B., Wang, Y.-W., & Huang, T. (2024) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2024.3388296 · Cited by 24
Metadata
- Authors
- Peng, Z., Wang, J., Wang, D., & Han, Q.-L.
- Venue
- IEEE Transactions on Industrial Informatics
- Published
- 2021-02
- Volume
- 17
- Issue
- 2
- Pages
- 732-745
- ISSN
- 1551-3203 (ISSN-L)
- 1941-0050
- OpenAlex
- W3037669777
- Cited by
- 757
- References
- 75
- FWCI
- 38.31
- Type
- journal article
- Language
- en
- Open access
- closed
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