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 

机构地区：[1]安徽理工大学理学院,淮南

出　　处：《计算机科学与应用》2014年第2期39-42,共4页Computer Science and Application

基　　金：国家自然科学基金资助项目(61073102)。

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.

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 

分 类 号：O1[理学—数学]