We study time-varying linear discrete time systems with uncertainties and time-varying measurement delays, whose outputs are perturbed by uncertainty. We build sequential predictors, which ensure input-to-state stability with respect to the uncertainties and which can be constructed using output values under arbitrarily long delays. The number of required sequential predictors is any upper bound for the delay in our feedback stabilized closed loop systems. We illustrate our work in a digital control problem for a continuous time system that is discretized through sampling.

中文翻译：

---

具有时变时滞的离散时间系统的时延补偿的顺序预测器

我们研究具有不确定性和时变测量延迟的时变线性离散时间系统，其输出受到不确定性的干扰。我们建立顺序预测器，以确保输入到状态相对于不确定性的稳定性，并且可以使用输出值在任意长的延迟下构造。所需的顺序预测变量的数目是我们反馈稳定的闭环系统中延迟的任何上限。我们举例说明了在一个连续时间系统的数字控制问题中的工作，该问题通过采样离散化。