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
DOI: 10.12677/CSA.2014.42008, PDF,  被引量 下载: 2,611  浏览: 5,824  国家自然科学基金支持
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. 基于边界函数量化信息通信的有向网络一致性[J]. 计算机科学与应用, 2014, 4(2): 39-42. http://dx.doi.org/10.12677/CSA.2014.42008

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