沉降时间
Lyapunov稳定性
控制理论(社会学)
共识
多智能体系统
计算机科学
理论(学习稳定性)
事件(粒子物理)
固定点
控制(管理)
数学
控制工程
人工智能
工程类
机器学习
数学分析
阶跃响应
物理
量子力学
作者
Jun Chai,Qiang Lu,Xiaofeng Tao,Dong‐Liang Peng,Botao Zhang
标识
DOI:10.1109/jas.2023.123444
摘要
This article deals with the consensus problem of multi-agent systems by developing a fixed-time consensus control approach with a dynamic event-triggered rule. First, a new fixedtime stability condition is obtained where the less conservative settling time is given such that the theoretical settling time can well reflect the real consensus time. Second, a dynamic event-triggered rule is designed to decrease the use of chip and network resources where Zeno behaviors can be avoided after consensus is achieved, especially for finite/fixed-time consensus control approaches. Third, in terms of the developed dynamic event-triggered rule, a fixed-time consensus control approach by introducing a new item is proposed to coordinate the multi-agent system to reach consensus. The corresponding stability of the multi-agent system with the proposed control approach and dynamic event triggered rule is analyzed based on Lyapunov theory and the fixed-time stability theorem. At last, the effectiveness of the dynamic event-triggered fixed-time consensus control approach is verified by simulations and experiments for the problem of magnetic map construction based on multiple mobile robots.
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