Consensus Control for Stochastic Multi-Agent Systems with Markovian Switching via Periodic Dynamic Event-Triggered Strategy

被引：1
|
作者：
Luo, Xue [1 ]
Yi, Chengbo [2 ]
Feng, Jianwen [3 ]
Wang, Jingyi [3 ]
Zhao, Yi [3 ]
机构：
[1] Southwestern Univ Finance & Econ, Sch Comp & Artificial Intelligence, Chengdu 611130, Peoples R China
[2] Shenzhen Ploytechn Univ, Sch Undergrad Educ, Shenzhen 518055, Peoples R China
[3] Shenzhen Univ, Sch Math & Stat, Shenzhen 518060, Peoples R China
来源：
AXIOMS | 2024年 / 13卷 / 10期
基金：
中国国家自然科学基金;
关键词：
consensus; stochastic multi-agent systems; Markovian switching; dynamic event-triggered strategy; SIMULATION; NETWORKS; TRACKING; AGENTS;
D O I：
10.3390/axioms13100694
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
The consensus problem in stochastic multi-agent systems (MASs) with Markovian switching is addressed by proposing a novel distributed dynamic event-triggered (DDET) technique based on periodic sampling to reduce information transmission. Unlike traditional event-triggered control, the proposed periodic sampling-based DDET method is characterized by the following three advantages: (1) The need for continuous monitoring of the event trigger is eliminated. (2) Zeno behavior in stochastic MASs is effectively prevented. (3) Communication costs are significantly reduced. Based on this, sufficient conditions for achieving consensus in the mean-square sense are derived using Lyapunov-Krasovskii functions, providing a solid theoretical foundation for the proposed strategy. The effectiveness of the proposed DDET control is validated through two numerical examples.
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页数：19
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