摘要
针对一阶连续多智能体系统在有向网络下的快速一致性问题,提出了一种基于局部信息反馈的一致性协议.利用矩阵理论和时域分析方法,分别分析了在具有单增益和双增益调节的情况下系统的一致性和快速一致性问题.通过增大增益,系统能够快速收敛到一致,并且在同等收敛速度下,双增益调节比单增益调节所需要的增益损耗更少.仿真示例验证了所提出协议的有效性.
A consensus protocol based on local information feedback is proposed for the fast consensus problem of first-order, continuous, multi-agent systems under a directed network. The consensus and fast consensus problems of these systems with single or double gains are analyzed based on matrix theory and the time-domain analysis method, respectively. By increasing gain, this systems can converge to a common value rapidly. Furthermore, the gain cost needed for double gain systems is less than that of single gain system at the same con- vergence speed. Simulation results show the effectiveness of the proposed protocol.
出处
《信息与控制》
CSCD
北大核心
2014年第5期534-538,共5页
Information and Control
基金
国家自然科学基金资助项目(61004033
61364002)
2012年金川校企合作基金资助项目
云南省教育厅科学研究基金资助项目(2013Z128
2013J061)
关键词
一致性
有向图
多智能体系统
收敛速度
consensus
directed graph
multi-agent systemconvergence rate