arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1511.01331eess.SYcs.SY
收藏

新颖的分布式鲁棒自适应一致性协议用于具有定向图和外部扰动的线性多智能体系统

Novel Distributed Robust Adaptive Consensus Protocols for Linear Multi-agent Systems with Directed Graphs and External Disturbances

Peking University(北京大学);City University of Hong Kong(香港城市大学)

Yuezu Lv, Zhongkui Li, Zhisheng Duan, Gang Feng

AI总结:

本文提出新颖的分布式自适应一致性协议,用于解决具有定向图和外部扰动的线性多智能体系统的一致性问题,保证最终有界性和参数漂移问题。

摘要:

本文针对具有定向图和外部不匹配扰动的线性多智能体系统的一致性协议设计问题,提出了一种新颖的分布式自适应一致性协议,以实现任何包含以领导者为根节点的定向生成树的定向图的领导者-跟随者一致性。需要注意的是,当存在有界外部扰动时,自适应协议可能会出现不期望的参数漂移现象。为了解决这个问题,设计了一种分布式鲁棒自适应一致性协议,以保证在存在外部扰动的情况下,一致性误差和自适应耦合权重的最终有界性。两种自适应协议都是完全分布式的,仅依赖于智能体动态和相邻智能体的相对状态。

英文摘要:

This paper addresses the distributed consensus protocol design problem for linear multi-agent systems with directed graphs and external unmatched disturbances. A novel distributed adaptive consensus protocol is proposed to achieve leader-follower consensus for any directed graph containing a directed spanning tree with the leader as the root node. It is noted that the adaptive protocol might suffer from a problem of undesirable parameter drift phenomenon when bounded external disturbances exist. To deal with this issue, a distributed robust adaptive consensus protocol is designed to guarantee the ultimate boundedness of both the consensus error and the adaptive coupling weights in the presence of external disturbances. Both adaptive protocols are fully distributed, relying on only the agent dynamics and the relative states of neighboring agents.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑