Adaptive sampling-based event-triggered consensus for multi-agent systems

IF 2.5 3区计算机科学 Q3 AUTOMATION & CONTROL SYSTEMS

Systems & Control Letters Pub Date : 2025-09-01 DOI:10.1016/j.sysconle.2025.106218

Yiming Wu , Nan Tang , Xiaozhen Pan , Ming Xu , Shuai Liu

引用次数: 0

Abstract

This brief addresses the event-triggered consensus problem of linear multi-agent systems (MASs) considered limited resources. A novel adaptive sampling dynamic event-triggered control (ASDETC) is proposed. It incorporates an inner self-learning term into the triggering conditions, enabling each agent to adaptively adjust its sampling detection interval based on the frequency of event triggering. To ensure effectiveness, a detection interval updating algorithm is developed. Further, we consider the adaptive sampling-based event-triggered consensus issue in directed and switching topology. With the aid of Lyapunov analysis, it is demonstrated that ASDETC can drive the MAS towards exponential consensus while effectively avoiding potential Zeno behavior. Finally, numerical simulations are conducted to validate the results.

查看原文本刊更多论文

基于自适应采样的多智能体系统事件触发共识

本文简要介绍了考虑有限资源的线性多智能体系统（MASs）的事件触发共识问题。提出了一种新的自适应采样动态事件触发控制（ASDETC）。它在触发条件中加入了一个内部自学习项，使每个智能体能够根据事件触发的频率自适应地调整其采样检测间隔。为了保证检测间隔的有效性，提出了一种检测间隔更新算法。此外，我们考虑了有向和切换拓扑中基于自适应采样的事件触发一致性问题。借助Lyapunov分析，证明ASDETC可以驱动MAS走向指数共识，同时有效避免潜在的芝诺行为。最后，进行了数值模拟验证。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Systems & Control Letters 工程技术-运筹学与管理科学

CiteScore

4.60

自引率

3.80%

发文量

144

审稿时长

6 months

期刊介绍： Founded in 1981 by two of the pre-eminent control theorists, Roger Brockett and Jan Willems, Systems & Control Letters is one of the leading journals in the field of control theory. The aim of the journal is to allow dissemination of relatively concise but highly original contributions whose high initial quality enables a relatively rapid review process. All aspects of the fields of systems and control are covered, especially mathematically-oriented and theoretical papers that have a clear relevance to engineering, physical and biological sciences, and even economics. Application-oriented papers with sophisticated and rigorous mathematical elements are also welcome.