控制理论与应用2026，Vol.43Issue(5)：1001-1010,10.DOI:10.7641/CTA.2025.40357
基于采样数据的多智能体系统预设时间保序一致性
Prescribed-time order-preserved consensus of multi-agent systems based on sampled data
摘要
Abstract
In this paper,the prescribed-time order-preserved consensus problem of multi-agent systems(MASs)based on sampled data is studied,where both leaderless and leader-following MASs are considered.To avoid continuous com-munication among agents and to save limited computational resources,this paper introduces sampling mechanisms into the prescribed-time order-preserved consensus of MASs.Firstly,agents are transformed from arbitrary dimension to one dimension using weight vectors and their initial states are ordered.Secondly,two different sampling periods are adopted re-spectively for each agent during and after the prescribed time to reduce the occupation of communication bandwidth.Then,according to the monotone system theory,prescribed-time order-preserved controllers are proposed based on the time base generator(TBG)and sampled data.Using the Lyapunov stability theorem and algebraic graph theory,sufficient conditions are obtained for the prescribed-time order-preserved consensus of MASs,and the explicit upper bounds of the sampling periods during and after the prescribed time are given.Finally,simulation results are used to verify the effectiveness of the theoretical results.关键词
多智能体系统/预设时间保序一致性/采样机制Key words
multi-agent systems(MASs)/prescribed-time order-preserved consensus/sampling mechanisms引用本文复制引用
翟文彪,李宏鹏,贾新春,王忠宝..基于采样数据的多智能体系统预设时间保序一致性[J].控制理论与应用,2026,43(5):1001-1010,10.基金项目
国家自然科学基金项目(62373231),国家自然科学基金区域创新发展联合基金重点项目(U24A20261)资助.Supported by the National Natural Science Foundation of China(62373231)and the Key Project of the Regional Innovation and the Development Joint Fund of the National Natural Science Foundation of China(U24A20261). （62373231）
