This article proposes a decentralized predictor-based output feedback to compensate for large delays in large-scale interconnected systems under the premise that the interconnections between subsystems are not strong. The full state of each subsystem is assumed to be unmeasurable and the observer-based output feedback is employed. Two methods are used to tackle the large delays: the backstepping-based partial differential equation (PDE) approach and the reduction-based ordinary differential equation (ODE) approach. The PDE method is used for continuous-time control and manages with larger delays, whereas the ODE method is applicable to sampled-data implementation under discrete-time measurement.

中文翻译：

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基于观测器的大延迟大规模互连系统的分散预测器控制


本文提出了一种基于分散预测器的输出反馈，以在子系统之间互连不强的前提下补偿大规模互连系统中的大延迟。假设每个子系统的完整状态是不可测量的，并且采用基于观测器的输出反馈。有两种方法用于解决大延迟：基于反推的偏微分方程（PDE）方法和基于简化的常微分方程（ODE）方法。 PDE方法用于连续时间控制并处理较大的延迟，而ODE方法适用于离散时间测量下的采样数据实现。