基于一阶动力学模型的多智能体系统一致性
The Consensus of Multi-agents Based on First-order Dynamical Model
赵舵舵 1肖一凡 1韩欣欣1
作者信息
- 1. 池州学院大数据与人工智能学院,安徽 池州 247000
- 折叠
摘要
研究了带有权重边的无向图拓扑结构下的多智能体系统,提出了固定采样、事件触发和周期采样等策略来实现系统一致性.基于李雅普诺夫稳定性理论建立了数学模型,并进行了分析和仿真研究,结果表明:事件触发策略能成功消除系统中的芝诺行为,能确保在相应策略下实现多智能体系统一致性.
Abstract
This study investigates multi-agent systems in weighted undirected graph topologies,addressing the consensus prob-lem through fixed-interval sampling,event-triggered,and periodic sampling strategies in such networks.Leveraging Lyapunov stability theory,a mathematical model has been established and thoroughly analyzed,along with simulation verification.The research reveals that the proposed event-triggered strategy eliminates Zeno behavior within the system,thereby ensuring con-sistent stability.Designed simulation experiments validate that multi-agent systems effectively achieve consensus under the corresponding strategies.
关键词
协同控制/李雅普诺夫V函数/周期采样/事件触发/仿真实验/模型创新Key words
measurement error/Lyapunov V function/periodic sampling/event triggering/simulation experiments/model inno-vation引用本文复制引用
基金项目
教育部大学生创新创业计划项目(202211306068)
教育部大学生创新创业计划项目(S202211306114)
教育部大学生创新创业计划项目(S202211306134)
安徽省优秀青年教师培育项目(YQYB2023059)
池州学院重点科研项目(CZ2023ZRZ04)
池州学院质量工程项目(2022XXSKC09)
出版年
2024
NETL
NSTL
万方数据