An underwater unmanned system swarm test scheme deduction method and computer product

By applying sequential game theory models and payoff matrices, the problem of insufficient autonomous design in group experiments of underwater unmanned systems was solved, the scientific nature and efficiency of the experimental scheme were improved, and the experimental results and resource optimization were ensured.

CN122174447APending Publication Date: 2026-06-09CSIC HAIMU TESTING TECH (HAINAN) CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CSIC HAIMU TESTING TECH (HAINAN) CO LTD
Filing Date
2026-02-09
Publication Date
2026-06-09

AI Technical Summary

Technical Problem

Existing group tests of underwater unmanned systems lack independent design and simulation capabilities, resulting in time-consuming and labor-intensive test scheme design, long cycles, insufficient scientific rigor, and limited test scenarios, making it difficult to achieve real test results and posing a risk of failure.

Method used

A sequential game model is used to decompose the experimental scheme into sub-tasks. The optimal scheme is generated through game deduction. The scheme is then solved by combining the payoff matrix and Nash equilibrium to provide auxiliary decision-making to improve the scientificity and efficiency of the experimental scheme design.

Benefits of technology

This improved the scientific rigor and rationality of the experimental plan, reduced the degree of human involvement in planning, increased the efficiency of experimental design, and ensured the successful completion of the experimental task and the rational consumption of resources.

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Abstract

This invention discloses a method and computer product for deriving experimental schemes for underwater unmanned systems (UAVs). The method involves setting the experimental scheme as the test party and the UAV cluster as the tested party, forming two opposing sides in a game. A sequential game model is constructed, and the test party is placed in the first position within the model. Based on the existing experimental scheme, the test party and the tested party engage in k stages of game play sequentially. After the final subgame is completed, a Nash equilibrium is calculated until the overall system reaches equilibrium. After the final stage of the game, the final experimental situation is output, and the optimal action strategy for the UAV cluster is selected from this situation. This invention enables the derivation of experimental schemes for underwater UAVs, providing decision support for experimenters, reducing the degree of manual intervention in planning, and improving the scientific rigor, rationality, and efficiency of experimental scheme design.
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