摘要
针对多智能体网络系统中普遍存在的拓扑变化、信息量化问题,综合考虑了状态量化和拓扑切换的影响.基于一种新的量化器构建了量化反馈作用下多智能体系统的混杂模型,并进一步分析了该混杂系统的有限时间收敛性,给出了一致收敛的时间下界.最后,对不同切换网络拓扑进行计算机仿真,验证所得结果的有效性.
This paper synthetically consider the effects of state quantization and switching topology for multiagent network systems due to the inherent features of time-varying topology and information constraints. Based on a new quantizer, we first construct the hybrid model of multiagent systems under quantized feedback, further analyze the finite-time convergence, and present the lower bound of time to consensus convergence. Finally, a simulation example is provided for different networks with switching topology to validate the theoretical results.
出处
《北京工业大学学报》
EI
CAS
CSCD
北大核心
2012年第12期1792-1797,共6页
Journal of Beijing University of Technology
基金
国家自然科学基金资助项目(61104155)
高等学校学科创新引智计划资助项目(B12018)
关键词
多智能体
量化
混杂系统
multiagent
quantization
hybrid systems
作者简介
叶倩（1985-），女，博士研究生，主要从事混杂系统的分析与控制方面的研究，E—mail：yeqian85@gmail．com．
