Louati Hanen, Niazi Azmat Ullah Khan, Dalam Mhassen E E, Hassan Waqar Ul, Khan Khawer Hameed, Alhagyan Mohammed
Mathematics Department, Faculty of Science, Northern Border University, Arar, KSA, Saudi Arabia.
Department of Mathematics and Statistics, The University of Lahore, Sargodha 40100, Pakistan.
Heliyon. 2024 Jul 5;10(14):e33975. doi: 10.1016/j.heliyon.2024.e33975. eCollection 2024 Jul 30.
The goal of this paper is to mitigate disturbances and input delays while optimizing controller actuation updates for discrete-time multi-agent systems through the use of an event-triggered confinement control system, especially in resource-constrained scenarios. This approach when combined with event-triggered control techniques, then every follower in the system adjusts its condition at specified times based on an event-triggered condition that is suggested. The containment control system issue in the presence of disturbances and input delays was tackled by using both decentralized and centralized event-triggered control systems. Using matrix theory and the Lyapunov technique, convergence analysis is conducted to show that the proposed strategy stays free of zeno phenomena. Numerical boosts are used to further illustrate the impact of theoretical results.
本文的目标是通过使用事件触发约束控制系统来减轻干扰和输入延迟，同时为离散时间多智能体系统优化控制器驱动更新，特别是在资源受限的场景中。当这种方法与事件触发控制技术相结合时，系统中的每个跟随者会根据所提出的事件触发条件在指定时间调整其状态。通过使用分散式和集中式事件触发控制系统，解决了存在干扰和输入延迟时的约束控制系统问题。利用矩阵理论和李雅普诺夫技术进行收敛性分析，以表明所提出的策略不存在芝诺现象。使用数值例子进一步说明理论结果的影响。
