计算机科学与应用

Vol.4 No.2 (February 2014)

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。

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

分享
Top