一种欠驱动无人艇集群对抗决策与控制一体化方法及系统
By designing optimal strategies and controls for underactuated unmanned surface vessel (USV) swarms using a coalition game approach, the problem of neglecting inter-swarm adversarial relationships was solved. This enabled optimal adversarial decision-making and control of USV swarms in complex environments, thereby improving swarm adversarial effectiveness.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SOUTHEAST UNIV
- Filing Date
- 2025-07-07
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies are mainly geared towards the design of dynamic models for fully driven unmanned surface vessels (USVs), and have failed to effectively address the problems faced by underactuated USV swarms in adversarial missions, such as complex cooperative coupling, incomplete decision-making information, and lack of consideration of adversarial relationships between swarms.
This paper proposes a cooperative game theory approach to provide optimal strategy and control for underactuated unmanned surface vessel (USV) swarm combat missions. By establishing a multi-agent swarm cooperative game model and combining it with a distributed consensus protocol and decision-making algorithm, a cooperative controller is designed to achieve optimal adversarial decision-making and control for USVs.
It achieves optimal adversarial decision-making for underactuated unmanned surface vessel (USV) swarms in complex adversarial environments, ensuring that USVs can quickly and accurately track desired signals, improving swarm adversarial effectiveness, and solving the problem of distributed decision-making and control of underactuated USV swarms.
Smart Images
Figure CN120779734B_ABST