自动化学报2017，Vol.43Issue(4)：568-575,8.DOI:10.16383/j.aas.2017.c160064
线性均方一致性问题的偏差估计
Variance Estimation for Linear Mean Square Consensus Problem
摘要
Abstract
Multi-agent cooperation has found applications in many fields such as sensor network,social network,distributed control,etc.The consistency problem is the basis for multi-agent cooperation,and receives much attention from more and more researchers.In real circumstances,because of equipment and communication interference,the information often carries noise during the transfer process.The paper studies the system deviation of consistency problem under noise condition,and the solution of noise deviation problem under consistency protocol is transformed into the integral of matrix norm.According to the relationship of trace and eigenvalue of the matrix,and based on the norm inequation and mean value theorem of integrals,the upper bound of noise deviation under consistency protocol which is only related with gain function and network structure is given,which establishes a theoretical basis for noise evaluation of consistent systems in real application.关键词
集群智能/多智能体系统/一致性协议/均方一致Key words
Collective intelligence/multi-agents system/consensus protocol/mean square consensus引用本文复制引用
窦全胜,刘柏枫,厉玉蓉,史忠植..线性均方一致性问题的偏差估计[J].自动化学报,2017,43(4):568-575,8.基金项目
国家重点基础研究发展计划(973计划)(2013CB329502),国家自然科学基金(61272244,61175053,61173173,61035003,61202212,71471103)资助 （973计划）
Supported by National Basic Research Program of China (973Program) (2013CB329502) and National Natural Science Foundation of China (61272244,61175053,61173173,61035003,61202212,71471103) （973Program）
