基于边界函数量化信息通信的有向网络一致性
Consensus in Directed Networks with Boundary Function Quantized Information Communication

作者: 季亚雷 :安徽理工大学理学院,淮南;

关键词: 一致性有向网络边界函数量化器多个体系统李雅谱诺夫函数 Consensus Directed Network Boundary Function Quantization Multi-Agent Systems Lyapunov Function

摘要:
基于有限水平的边界函数量化策略,本文主要研究了有向非平衡网络多个系统的加权平均一致性问题。研究发现只要固定拓扑有向网络强连通,系统能够实现加权平均一致。并且通过构造广义李雅普诺夫函数对系统的收敛性进行分析。

Abstract:
In this paper, the boundary function method is proposed for the coding scheme design to solve quantized problem of multi-agent system under a general unbalanced directed network. The multi-agent system can achieve weighted average consensus as long as the directed unbalanced network is strongly connected. Moreover, via choosing a generalized quadratic Lyapunov function, this paper analyzes the convergence of the system.

文章引用: 季亚雷 (2014) 基于边界函数量化信息通信的有向网络一致性。 计算机科学与应用, 4, 39-42. doi: 10.12677/CSA.2014.42008

参考文献

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