Collective Circular Target Defensive Gaming Strategy for Multi-Autonomous Surface Vehicle Fleets
This article proposes a collective target defensive gaming (CTDG) strategy for multiautonomous surface vehicle (ASV) fleets. First, a task allocation algorithm is designed with the assistance of perimeter-defense game theory, which transforms the multi-ASV fleets defending game into a series of “1 VS 1” and “2 VS 1” local subgames. Thereby, a CTDG controller is developed and sufficient conditions are accordingly derived to guarantee its feasibility. Finally, extensive experiments are conducted on a self-developed lake-based multi-ASV fleet platform to verify the effectiveness of the proposed CTDG strategy.
Authors
- Hai-Tao Zhang
- Ning Xing (ORCID: https://orcid.org/0000-0002-8979-5561)
- Bin Liu (ORCID: https://orcid.org/0000-0001-8520-6849)
Institutions
- Dongguan University of Technology (CN)
- Huazhong University of Science and Technology (CN)
Publication Details
- Journal
- IEEE Transactions on Industrial Electronics
- Published
- 2025-06-19
- DOI
- https://doi.org/10.1109/tie.2025.3569964
- Primary Topic
- Advanced Malware Detection Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00