Liang Zhanlue, Liu Xinzhi
Department of Respiratory and Critical Care Medicine, Institute of Respiratory Health, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Department of Applied Mathematics, Faculty of Mathematics, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada.
ISA Trans. 2024 Dec;155:20-33. doi: 10.1016/j.isatra.2024.09.012. Epub 2024 Sep 16.
This article studies the problem of formation tracking control in multi-agent systems, achieved in finite time, under challenging conditions such as strong nonlinearity, aperiodic intermittent communication, and time-delay effects, all within a hybrid impulsive framework. The impulses are categorized as either stabilizing control impulses or disruptive impulses. Furthermore, by integrating Lyapunov-based stability theory, graph theory, and the linear matrix inequality (LMI) method, new stability criteria are established. These criteria ensure finite-time intermittent formation tracking while considering weak Lyapunov inequality conditions, intermittent communication rates, and time-varying gain strengths. Additionally, the approach manages an indefinite number of impulsive moments and adjusts the control domain's width based on the average impulsive interval and state-dependent control width. Numerical simulations are provided to validate the applicability and effectiveness of the proposed formation tracking control protocols.
本文研究了多智能体系统中的编队跟踪控制问题,该问题在强非线性、非周期性间歇通信和时延效应等具有挑战性的条件下,在混合脉冲框架内于有限时间内实现。脉冲被分为稳定控制脉冲或干扰脉冲。此外,通过整合基于李雅普诺夫的稳定性理论、图论和线性矩阵不等式(LMI)方法,建立了新的稳定性准则。这些准则在考虑弱李雅普诺夫不等式条件、间歇通信速率和时变增益强度的同时,确保了有限时间间歇编队跟踪。此外,该方法可处理不确定数量的脉冲时刻,并根据平均脉冲间隔和状态相关控制宽度调整控制域的宽度。提供了数值模拟以验证所提出的编队跟踪控制协议的适用性和有效性。