Dynamic and Time Efficient Data Assignment via the Pointers Matrix

Christine Kloock, Herbert Werner
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Abstract

This paper presents an approach that bases on a matrix providing and supporting the time efficient access of agent related data in a multi-agent scenario, e.g. distributed model predictive control. Under some assumptions, the matrix possesses the potential of improving the amount of time required for collecting the required data compared to a basic search routine. Due to the special structure, the matrix can be derived dynamically and can be adapted to a changing number of agents.
动态和时间效率的数据分配通过指针矩阵
本文提出了一种基于矩阵的方法,在多智能体场景中提供并支持对智能体相关数据的高效访问,例如分布式模型预测控制。在某些假设下,与基本搜索例程相比,矩阵具有改进收集所需数据所需时间的潜力。由于特殊的结构,矩阵可以动态导出,并且可以适应不断变化的代理数量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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