CASIA OpenIR  > 复杂系统管理与控制国家重点实验室  > 先进机器人
Stochastic consensus of linear multi-agent systems: Communication noises and Markovian switching topologies
Long Cheng; Yunpeng Wang; Zeng-Guang Hou; Min Tan
2014
Conference Name26th Chinese Control and Decision Conference (CCDC)
Conference Date MAY 31-JUN 02, 2014
Conference PlaceChangsha
CountryChina
AbstractThis paper studies the mean square and almost sure consensus of discrete-time linear multi-agent systems with communication noises under Markovian switching topologies. By a sophisticated stochastic-approximation type protocol, the closed-loop dynamics of this linear multi-agent system can be transformed into a discrete-time first-order integral multi-agent system. It is proved that if all roots of a polynomial, whose coefficients are the parameters in the gain vector of the proposed protocol, are in the unit circle, there is certain equivalence between the consensus of original linear multi-agent system and the consensus of transformed first-order integral multi-agent system. Then some sufficient conditions on the mean square/almost sure consensus of linear multi-agent systems can be obtained accordingly. Finally, theoretical analysis is verified by simulation examples.
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/23145
Collection复杂系统管理与控制国家重点实验室_先进机器人
Recommended Citation
GB/T 7714
Long Cheng,Yunpeng Wang,Zeng-Guang Hou,et al. Stochastic consensus of linear multi-agent systems: Communication noises and Markovian switching topologies[C],2014.
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