标题:
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
关键字:
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
期刊名称:
《Computer Science and Application》, Vol.4 No.2, 2014-02-28
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.