论文标题
伯努利数据包丢失的多代理系统的分解方法
A Decomposition Approach to Multi-Agent Systems with Bernoulli Packet Loss
论文作者
论文摘要
在本文中,我们将可分解的系统框架扩展到具有伯努利分布式数据包丢失的多代理系统,概率均匀。提议的均方稳定性和$ H_2 $ - 绩效的足够分析条件 - 以线性矩阵不等式的形式表示 - 随着网络尺寸的增加线性扩展,从而使甚至可以分析非常大的多区域系统。一个数值示例通过应用于一阶共识问题来证明该方法的潜力。
In this paper, we extend the decomposable systems framework to multi-agent systems with Bernoulli distributed packet loss with uniform probability. The proposed sufficient analysis conditions for mean-square stability and $H_2$-performance -- which are expressed in the form of linear matrix inequalities -- scale linearly with increased network size and thus allow to analyse even very large-scale multi-agent systems. A numerical example demonstrates the potential of the approach by application to a first-order consensus problem.