本文選題：智能集群　切入點：無人車　出處：《國防科技大學(xué)學(xué)報》2017年02期

【摘要】：以無人車集群系統(tǒng)協(xié)同監(jiān)視再入體著靶過程為任務(wù)背景,開展智能集群自組織策略相關(guān)技術(shù)研究。設(shè)計無人車集群執(zhí)行再入體著靶協(xié)同監(jiān)視的集群行為模式;針對協(xié)同監(jiān)視過程中的集群聚集行為,提出基于合作博弈的智能集群自主聚集策略。各智能體以實現(xiàn)群體聚集為"合作目標(biāo)",以降低自身能量消耗為"競爭目標(biāo)",開展博弈;基于微粒群算法規(guī)劃局部路徑,最終使群體系統(tǒng)涌現(xiàn)出聚集行為。仿真實驗驗證了設(shè)計的自主聚集策略的有效性。
[Abstract]:Based on the task of collaborative monitoring of reentry target process in UAV cluster system, the research of intelligent cluster self-organizing strategy is carried out.The cluster behavior pattern of reentry target cooperative monitoring is designed, and an intelligent cluster autonomous aggregation strategy based on cooperative game is proposed.In order to reduce their own energy consumption to "competitive goal", the agents take the realization of group aggregation as the "cooperative goal", and develop the game, and plan the local path based on the particle swarm optimization algorithm, finally make the aggregation behavior emerge out of the colony system.Simulation results demonstrate the effectiveness of the proposed autonomous aggregation strategy.
【作者單位】： 國防科技大學(xué)航天科學(xué)與工程學(xué)院;清華大學(xué)航天航空學(xué)院;
【基金】：國家863計劃資助項目(2014AA7041002)
【分類號】：TP18;U463.6

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