Sequential Predictors Under Time-Varying Feedback and Measurement Delays and Sampling
Sequential Predictors Under Time-Varying Feedback and Measurement Delays and Sampling
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DOI：
10.1109/tac.2018.2874694
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发表时间：
2019-07
影响因子：
6.8
通讯作者：
J. Weston;Michael A. Malisoff
中科院分区：
文献类型：
--
作者：
J. Weston;Michael A. Malisoff
我们建立连续预测的时变线性系统随时间变化的输入延迟，输出，控制中的采样，和随时间变化的测量延迟。我们证明了全局指数稳定性和鲁棒性。我们允许输入延迟的超范数是任意大的和非周期采样。我们使用了一组新的动态扩展，包含输出测量，其优势超过现有的方法，包括他们缺乏分布式条款。
We build sequential predictors for time-varying linear systems with time-varying input delays, outputs, sampling in the control, and time-varying measurement delays. We prove global exponential stability and robustness properties. We allow the sup norm of the input delay to be arbitrarily large and aperiodic sampling. We use a new set of dynamical extensions that contain output measurements, and whose advantages over existing methods include their lack of distributed terms.