多智能体系统群分配的分布式控制

K. Sakurama, H. Ahn
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引用次数: 0

摘要

本文研究了群体分配问题,这是多智能体系统多群体控制的一个新概念。在该问题中,对于多组参考状态,允许每组agent实现任意一组参考状态。此外,代理必须确定它们自己达到的参考状态。这比传统的分配问题更困难,因为必须同时确定组的分配和参考状态的分配。本文采用梯度流方法设计了一种分布式控制器来解决这一问题。通过仿真验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Distributed Control for Group Assignment of Multi-agent Systems
In this paper, we address a group assignment problem, which is a new concept of control of multi-agent systems in multiple groups. In this problem, for multiple groups of reference states, each group of agents is allowed to achieve any group of reference states. In addition, agents have to determine which reference states they achieve by themselves. This is more difficult than conventional assignment problems because both the assignment of groups and that of reference states have to be determined simultaneously. In this paper, a distributed controller to solve this problem is designed through the gradient-flow approach. The effectiveness of the proposed method is demonstrated through simulations.
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