In this paper, we propose continuous-time and sampled-data output feedback controllers for nonlinear multi-input multi-output systems with time-varying measurement and input delays, with no restriction on the bound or serious limitations on the growth of the nonlinearities. A state prediction is generated by chains of saturated high-gain observers with switching error-correction terms and the state prediction is used to stabilize the system with saturated controls. The observers reconstruct the unmeasurable states at different delayed time-instants, which partition the maximal variation interval of the time-varying delays. These delayed time instant depend both on the magnitude of the delays and the growth rate of the nonlinearities. We also design sampled-data stabilizers as zero-order discretization of a hybrid modification (with continuous-time states and discrete-time control and innovations) of the continuous-time stabilizers.

中文翻译：

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用于具有输入和测量延迟的非线性系统的连续时间和采样数据稳定器


在本文中，我们提出了用于具有时变测量和输入延迟的非线性多输入多输出系统的连续时间和采样数据输出反馈控制器，对非线性增长没有限制或严重限制。状态预测由具有切换误差校正项的饱和高增益观测器链生成，并且状态预测用于通过饱和控制来稳定系统。观测者重构不同延迟时刻的不可测状态，划分时变延迟的最大变化区间。这些延迟的时刻取决于延迟的幅度和非线性的增长率。我们还将采样数据稳定器设计为连续时间稳定器的混合修改（具有连续时间状态和离散时间控制和创新）的零阶离散。