控制理论(社会学)
排
指数稳定性
有界函数
计算机科学
火车
网络拓扑
理论(学习稳定性)
集合(抽象数据类型)
联轴节(管道)
车辆动力学
控制(管理)
国家(计算机科学)
拓扑(电路)
边距(机器学习)
基质(化学分析)
指数函数
蒙特卡罗方法
弹道
变量(数学)
跳跃式监视
上下界
工程类
稳定性理论
电信网络
对称矩阵
鲁棒控制
最优控制
状态变量
控制器(灌溉)
数学优化
指数增长
控制系统
内部模型
作者
Sara Leccese,Dario Giuseppe Lui,Alberto Petrillo,Stefania Santini
标识
DOI:10.1109/tits.2025.3633284
摘要
The Virtual Coupling (VC) control problem becomes more challenging when considering High-Speed Trains (HST), where unexpected/unpredictable external factors, nonlinearities effects and unavoidable communication impairments have a stronger impact on trains convoy performance and safety because of the higher velocity operative range. To simultaneously handle all these critical aspects in a unified framework, this paper proposes a novel robust distributed time-delay control strategy which ensures the VC of autonomous connected HST under variable inter-train spacing policy which accounts for the effective convoy conditions. This is also guaranteed in the presence of variations in the active communication links as a result of cooperative manoeuvres. By exploiting matrix theory and the Lyapunov-Krasovskii approach, we derive the control gains tuning procedure and the exponential stability conditions, which are expressed as a set of feasible delay-dependent Linear Matrix Inequalities. These latter allow analytically evaluating the stability margin of the VC convoy with respect to uncertainties, unmodeled dynamics and the maximum allowable delay upper bound, as well as ensuring, based on a desired exponential decay rate, that the closed-loop state trajectories remain bounded within a safe region. Theoretical derivation is confirmed by an extensive simulation campaign, also including different railways cooperative maneuvers, Monte Carlo analysis and comparative evaluation against an alternative strategy.
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