Event-triggered consensus control for short memory fractional-order multiagent systems with input delay

IF 4.2 3区计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS

Journal of The Franklin Institute-engineering and Applied Mathematics Pub Date : 2026-03-15 Epub Date: 2026-02-09 DOI:10.1016/j.jfranklin.2026.108507

Taotao Hu , Miaomiao Shi , Kaibo Shi , Xianya Wuliu

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引用次数: 0

Abstract

This article concentrates on the event-triggered consensus control for short memory fractional-order multiagent systems with input delay. First, considering the limitation of network communication resources, an event-triggered consensus strategy with input delay is designed, which only depend on the sampled state information of neighboring agents. It is shown that the proposed event-triggered control strategy is able to effectively adjust the frequency of the information transfer between neighboring agents. Utilizing the fractional Lyapunov stability theory and some inequality techniques, the delay-dependent consensus criteria for fractional-order multiagent systems are established. Meanwhile, analyzing the existence of the lower bound of the triggering time interval for any two continuous events, Zeno behavior is excluded. Finally, some simulations results are given to confirm the correctness of the proposed consensus approach, which show that the designed event-triggered consensus strategy can effectively reduce the communication frequency between neighboring agents compared with the known works.

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具有输入延迟的短记忆分数阶多智能体系统的事件触发一致性控制

本文主要研究具有输入延迟的短记忆分数阶多智能体系统的事件触发一致性控制。首先，考虑到网络通信资源的限制，设计了一种具有输入延迟的事件触发一致性策略，该策略仅依赖于相邻代理的采样状态信息；实验结果表明，所提出的事件触发控制策略能够有效地调节相邻agent之间信息传递的频率。利用分数阶Lyapunov稳定性理论和不等式技术，建立了分数阶多智能体系统的时滞相关一致性准则。同时，分析任意两个连续事件的触发时间间隔下界的存在性，排除了芝诺行为。最后，仿真结果验证了所提共识策略的正确性，结果表明，所设计的事件触发共识策略与已知算法相比，能够有效地降低相邻智能体之间的通信频率。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of The Franklin Institute-engineering and Applied Mathematics 工程技术-工程：电子与电气

CiteScore

7.30

自引率

14.60%

发文量

586

审稿时长

6.9 months

期刊介绍： The Journal of The Franklin Institute has an established reputation for publishing high-quality papers in the field of engineering and applied mathematics. Its current focus is on control systems, complex networks and dynamic systems, signal processing and communications and their applications. All submitted papers are peer-reviewed. The Journal will publish original research papers and research review papers of substance. Papers and special focus issues are judged upon possible lasting value, which has been and continues to be the strength of the Journal of The Franklin Institute.