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Distributed robust output consensus for linear multi-agent systems with input time-varying delays and parameter uncertainties

机译:具有输入时变时滞和参数不确定性的线性多智能体系统的分布式鲁棒输出共识

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摘要

This study addresses the leader-tracking problem for linear multi-agent systems in the presence of both parameter model uncertainties and time-varying communication delays. To solve the robust output consensus problem, a delayed distributed proportional-integral-derivative control is proposed and the overall closed-loop stability is proven by exploiting the Lyapunov-Krasovskii theory. Delay-dependent robust stability conditions are given via linear matrix inequalities which allow the proper tuning of robust control gains. The effectiveness of the theoretical derivation is confirmed through a numerical analysis in the practical application domain of cooperative driving for connected vehicles.
机译:这项研究解决了同时存在参数模型不确定性和时变通信延迟的线性多智能体系统的领导者跟踪问题。为了解决鲁棒的输出一致性问题,提出了一种延迟分布比例-积分-微分控制,并利用Lyapunov-Krasovskii理论证明了整体闭环稳定性。依赖于延迟的鲁棒稳定性条件是通过线性矩阵不等式给出的,该不等式允许对鲁棒控制增益进行适当调整。理论推导的有效性通过数值分析在互联车辆协同驾驶的实际应用领域得到了证实。

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