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基于量子决策的异构集群协同巡航方法OACSTPCD

Cooperative cruise method of heterogeneous cluster based on quantum decision

中文摘要英文摘要

通过分析异构集群协同决策行为的特征,引入量子决策模型解决异构集群自主决策问题.首先从OODA流程出发,廓清异构集群协同的控制方式;而后针对异构集群协同巡航具体问题,拆分无人艇集群和无人机集群的任务,分别构建队形优化和自主探测的应用模型;设计队形优化算法,动态生成最佳通信队形结构;设计量子决策云和反馈评分机制,在众多可能探测选项中优选最合适的决策内容;最后通过仿真实验论证队形优化模型和自主探测模型在异构集群协同巡航中的有效性.实验表明,量子决策模型相比于常规决策模型,在决策行为选择和优化中具有更大的适用性和可迁移性.

By analyzing the characteristics of collaborative decision-making behavior of heterogeneous clusters,this paper introduces quantum decision-making model to solve the autonomous decision-making problem of heterogeneous clusters.First-ly,it is triggered from the OODA loop process to clarify the control mode of heterogeneous cluster collaboration.Then,ai-ming at the specific problem of heterogeneous cluster cooperative cruise,the tasks of unmanned boat cluster and UAV cluster are split,and the application models of formation optimization and autonomous detection are constructed respectively.The formation optimization algorithm is designed to dynamically generate the best communication formation structure.The quantum decision cloud and feedback scoring mechanism are designed to select the most suitable decision content among many possible detection options.Finally,the effectiveness of formation optimization model and autonomous detection model in heterogeneous cluster cooperative cruise is demonstrated by simulation experiments.Experiments show that the quantum deci-sion model has greater applicability and mobility in decision behavior selection and optimization than the conventional deci-sion model.

刘昊;张云飞;张伟斌;胡启智

珠海云洲智能科技股份有限公司南方海洋科学与工程广东省实验室(珠海),广东 珠海 519082||云洲创新科技有限公司深圳研究院,广东 深圳 518106珠海云洲智能科技股份有限公司南方海洋科学与工程广东省实验室(珠海),广东 珠海 519082

无人艇无人机异构协同量子决策队形结构优化

unmanned surface vehicleunmanned aerial vehicleheterogeneous collaborationquantum decisionformation structure optimization

《指挥控制与仿真》 2024 (004)

66-76 / 11

国家重大科研仪器研制项目(42227901);珠海市产业核心和关键技术攻关方向项目(ZH22017002210014PWC);南方海洋科学与工程广东省实验室(珠海)创新团队建设项目(311022008)

10.3969/j.issn.1673-3819.2024.04.009

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