Leader-following consensus of multi-agent systems under antagonistic networks

Leader-following consensus of multi-agent systems under antagonistic networks
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对抗网络下多智能体系统的领导者跟随共识

DOI:
10.1016/j.neucom.2020.07.006
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发表时间:
2020-11
期刊:
影响因子:
6
通讯作者:
Lu Jinhu
Lu Jinhu
中科院分区:
计算机科学2区
文献类型:
--
作者:
Wang Qianyao;Liu Kexin;Wang Xiong;Lu Jinhu

文献摘要

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在本文中,我们解决了领导者以下的共识的多智能体系统(MAS)下的一类对抗性网络。与传统文献不同的是,在我们的模型中,跟随者是否能够访问领导者取决于一个矩阵而不是标量。对于具有结构平衡性质的对抗性和有向网络,建立了MAS实现双方共识的充分条件。给出了增益矩阵和耦合强度的设计算法。更重要的是,我们设计的自适应法律,自调整的耦合强度的值。仿真结果也验证了我们的方法的有效性。
In this paper, we address the leader-following consensus of multi-agent systems (MASs) under a class of antagonistic networks. Different from the traditional literature, in our model, whether a follower can access the leader depends on a matrix instead of a scalar. For antagonistic and directed networks with structurally balanced properties, sufficient conditions are established under which the MASs will achieve bipartite consensus. Detailed algorithms are proposed to design the gain matrices and the coupling strength. What is more, we design adaptive laws to self-tune the value of the coupling strength. Simulation results are also given to verify the effectiveness of our methods.
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